| name | description | authors | links | colaboratory | update |
|---|---|---|---|---|---|
| Real-ESRGAN | Extend the powerful ESRGAN to a practical restoration application, which is trained with pure synthetic data |
|
 |
29.11.2021 | |
| DALL·E Mini | Generate images from a text prompt | |
28.11.2021 | ||
| CartoonGAN | The implementation of the cartoon GAN model with PyTorch | Tobias Sunderdiek | |
24.11.2021 | |
| SimSwap | An efficient framework, called Simple Swap, aiming for generalized and high fidelity face swapping |
|
|
24.11.2021 | |
| YOLOv5 | You Only Look Once | Glenn Jocher |
|
|
21.11.2021 |
| YOLOv3 | You Only Look Once | Glenn Jocher |
|
|
14.11.2021 |
| DFL-Colab | This project provides you IPython Notebook to use DeepFaceLab | chervonij | |
14.11.2021 | |
| Arnheim | Generative Art Using Neural Visual Grammars and Dual Encoders |
|
|
11.11.2021 | |
| StyleGAN 2 | Generation of faces, cars, etc. | Mikael Christensen |  |
|
05.11.2021 |
| AlphaFold | Highly accurate protein structure prediction | |
05.11.2021 | ||
| ByteTrack | Multi-Object Tracking by Associating Every Detection Box | |
30.10.2021 | ||
| GFPGAN | Towards Real-World Blind Face Restoration with Generative Facial Prior |
|
|
22.10.2021 | |
| GPT-2 | Retrain an advanced text generating neural network on any text dataset using gpt-2-simple! | Max Woolf | |
18.10.2021 | |
| Parallel WaveGAN | State-of-the-art non-autoregressive models to build your own great vocoder | Tomoki Hayashi |
|
|
11.10.2021 |
| StyleGAN-NADA | Zero-Shot non-adversarial domain adaptation of pre-trained generators |
|
|
03.10.2021 | |
| Skillful Precipitation Nowcasting Using Deep Generative Models of Radar | Open-sourced dataset and model snapshot for precipitation nowcasting | |
29.09.2021 | ||
| Text2Animation | Generate images from text phrases with VQGAN and CLIP with animation and keyframes |
|
|
29.09.2021 | |
| Disentangled Lifespan Face Synthesis | LFS model is proposed to disentangle the key face characteristics including shape, texture and identity so that the unique shape and texture age transformations can be modeled effectively | |
27.09.2021 | ||
| Live Speech Portraits | Real-Time Photorealistic Talking-Head Animation |
|
|
26.09.2021 | |
| Open-Unmix | A deep neural network reference implementation for music source separation, applicable for researchers, audio engineers and artists | |
23.07.2021 | ||
| textgenrnn | Generate text using a pretrained neural network with a few lines of code, or easily train your own text-generating neural network of any size and complexity | Max Woolf | |
13.07.2021 | |
| Anycost GAN | Interactive natural image editing |
|
|
07.07.2021 | |
| First Order Motion Model for Image Animation | Transferring facial movements from video to image | Aliaksandr Siarohin | |
30.06.2021 | |
| TediGAN | Framework for multi-modal image generation and manipulation with textual descriptions |
|
|
30.06.2021 | |
| CLIPDraw | Synthesize drawings to match a text prompt |
|
|
29.06.2021 | |
| VideoGPT | A conceptually simple architecture for scaling likelihood based generative modeling to natural videos | |
27.06.2021 | ||
| Customizing a Transformer Encoder | We will learn how to customize the encoder to employ new network architectures | Chen Chen |
|
|
06.06.2021 |
| Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes | A method to stylize images by optimizing parameterized brushstrokes instead of pixels | |
02.06.2021 | ||
| Pixel2Style2Pixel | Encoding in Style: A StyleGAN Encoder for Image-to-Image Translation |
|
|
01.06.2021 | |
| Fine-tuning a BERT | We will work through fine-tuning a BERT model using the tensorflow-models PIP package | |
24.05.2021 | ||
| ReStyle | A Residual-Based StyleGAN Encoder via Iterative Refinement |
|
|
21.05.2021 | |
| Motion Representations for Articulated Animation | Novel motion representations for animating articulated objects consisting of distinct parts | |
29.04.2021 | ||
| SAM | Age Transformation Using a Style-Based Regression Model |
|
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26.04.2021 | |
| SkinDeep | Remove Body Tattoo Using Deep Learning | Vijish Madhavan |
|
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24.04.2021 |
| Geometry-Free View Synthesis | Is a geometric model required to synthesize novel views from a single image? |
|
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22.04.2021 | |
| NeRViS | An algorithm for full-frame video stabilization by first estimating dense warp fields | |
11.04.2021 | ||
| NeX | View synthesis based on enhancements of multiplane image that can reproduce NeXt-level view-dependent effects in real time | |
25.03.2021 | ||
| encoder4editing | Designing an Encoder for StyleGAN Image Manipulation |
|
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25.03.2021 | |
| Big Sleep | Text to image generation, using OpenAI's CLIP and a BigGAN | Phil Wang |
|
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17.03.2021 |
| Deep Daze | Text to image generation using OpenAI's CLIP and Siren | Phil Wang |
|
|
17.03.2021 |
| Taming Transformers for High-Resolution Image Synthesis | We combine the efficiancy of convolutional approaches with the expressivity of transformers by introducing a convolutional VQGAN, which learns a codebook of context-rich visual parts, whose composition is modeled with an autoregressive transformer | |
10.03.2021 | ||
| Talking Head Anime from a Single Image | The network takes as input an image of an anime character's face and a desired pose, and it outputs another image of the same character in the given pose | Pramook Khungurn |
|
|
23.02.2021 |
| Multitrack MusicVAE | The models in this notebook are capable of encoding and decoding single measures of up to 8 tracks, optionally conditioned on an underlying chord | |
17.02.2021 | ||
| NFNet | An adaptive gradient clipping technique, a significantly improved class of Normalizer-Free ResNets |
|
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17.02.2021 | |
| bsuite | A collection of carefully-designed experiments that investigate core capabilities of an RL agent with two main objectives | Ian Osband |
|
|
13.02.2021 |
| Wav2Lip | A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild | |
12.02.2021 | ||
| CLIP | A neural network which efficiently learns visual concepts from natural language supervision | |
29.01.2021 | ||
| Adversarial Patch | A method to create universal, robust, targeted adversarial image patches in the real world | Tom Brown | |
|
27.01.2021 |
| MSG-Net | Multi-style Generative Network with a novel Inspiration Layer, which retains the functionality of optimization-based approaches and has the fast speed of feed-forward networks | |
25.01.2021 | ||
| Toon-Me | A fun project to toon portrait images | Vijish Madhavan |
|
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22.01.2021 |
| Neural Style Transfer | Implementation of Neural Style Transfer in Keras 2.0+ | Somshubra Majumdar |
|
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22.01.2021 |
| SkyAR | A vision-based method for video sky replacement and harmonization, which can automatically generate realistic and dramatic sky backgrounds in videos with controllable styles | Zhengxia Zou | |
18.01.2021 | |
| Big GAN | Large Scale GAN Training for High Fidelity Natural Image Synthesis | |
|
12.01.2021 | |
| GrooVAE | Some applications of machine learning for generating and manipulating beats and drum performances | |
08.01.2021 | ||
| MusicXML Documentation | The goal of this notebook is to explore one of the magenta libraries for music | |
08.01.2021 | ||
| SVG VAE | A colab demo for the SVG VAE model | Raphael Gontijo Lopes | |
08.01.2021 | |
| PIFuHD | Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization |
|
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05.01.2021 | |
| Neural Magic Eye | Learning to See and Understand the Scene Behind an Autostereogram | |
01.01.2021 | ||
| Flow-edge Guided Video Completion | Method first extracts and completes motion edges, and then uses them to guide piecewise-smooth flow completion with sharp edges | |
30.12.2020 | ||
| ArtLine | A Deep Learning based project for creating line art portraits | Vijish Madhavan |
|
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24.12.2020 |
| WikiArt (stylegan2-ada) | Generation of paintings of different styles and genres | Doron Adler | |
|
08.12.2020 |
| GANSpace | A simple technique to analyze GANs and create interpretable controls for image synthesis, such as change of viewpoint, aging, lighting, and time of day |
|
|
06.12.2020 | |
| SeFa | A closed-form approach for unsupervised latent semantic factorization in GANs | |
06.12.2020 | ||
| Stylized Neural Painting | An image-to-painting translation method that generates vivid and realistic painting artworks with controllable styles | |
01.12.2020 | ||
| DeOldify (video) | Colorize your own videos! | Jason Antic |
|
|
13.11.2020 |
| DeOldify (photo) | Colorize your own photos! |
|
|
13.11.2020 | |
| MakeItTalk | A method that generates expressive talking-head videos from a single facial image with audio as the only input | |
10.11.2020 | ||
| LaSAFT | Latent Source Attentive Frequency Transformation for Conditioned Source Separation | Woosung Choi | |
01.11.2020 | |
| Lifespan Age Transformation Synthesis | Multi-domain image-to-image generative adversarial network architecture, whose learned latent space models a continuous bi-directional aging process |
|
|
31.10.2020 | |
| HiGAN | Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis |
|
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14.10.2020 | |
| InterFaceGAN | Interpreting the Latent Space of GANs for Semantic Face Editing |
|
|
13.10.2020 | |
| Instance-aware Image Colorization | Novel deep learning framework to achieve instance-aware colorization | Jheng-Wei Su | |
30.08.2020 | |
| Rewriting a Deep Generative Model | We ask if a deep network can be reprogrammed to follow different rules, by enabling a user to directly change the weights, instead of training with a data set |
|
|
31.07.2020 | |
| BERT score | An automatic evaluation metric for text generation | Tianyi Zhang | |
17.07.2020 | |
| HiDT | A generative image-to-image model and a new upsampling scheme that allows to apply image translation at high resolution | |
17.07.2020 | ||
| Analyzing Tennis Serve | We'll use the Video Intelligence API to analyze a tennis serve, including the angle of the arms and legs during the serve | Dale Markowitz | |
14.07.2020 | |
| SIREN | Implicit Neural Representations with Periodic Activation Functions | |
24.06.2020 | ||
| PIFu | Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization | |
18.06.2020 | ||
| 3D Ken Burns | A reference implementation of 3D Ken Burns Effect from a Single Image using PyTorch - given a single input image, it animates this still image with a virtual camera scan and zoom subject to motion parallax | Manuel Romero | |
13.06.2020 | |
| MusicVAE | A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music | |
02.06.2020 | ||
| Background Matting | The notebook is split into three parts: required setup, running the algorithm on photos, and running it on videos | Andrey Ryabtsev | |
18.05.2020 | |
| Jukebox | A neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artist styles | Christine Payne | |
04.05.2020 | |
| 3D Photo Inpainting | Method for converting a single RGB-D input image into a 3D photo, i.e., a multi-layer representation for novel view synthesis that contains hallucinated color and depth structures in regions occluded in the original view | |
04.05.2020 | ||
| Motion Supervised co-part Segmentation | A self-supervised deep learning method for co-part segmentation |
|
|
07.04.2020 | |
| RNN for Predictive Maintenance | LSTM network in order to predict remaining useful life of aircraft engines | Umberto Griffo | |
03.04.2020 | |
| Onsets and Frames | Onsets and Frames is an automatic music transcription framework with piano and drums models | |
02.04.2020 | ||
| Classification of chest vs. adominal X-rays | The goal of this tutorial is to build a deep learning classifier to accurately differentiate between chest and abdominal X-rays | tmoneyx01 | |
07.03.2020 | |
| Lung X-Rays Semantic Segmentation | This lesson applies a U-Net for Semantic Segmentation of the lung fields on chest x-rays | tmoneyx01 | |
07.03.2020 | |
| WikiArt (stylegan2) | Generation of paintings of different styles and genres | Doron Adler | |
|
27.01.2020 |
| Earth Engine Python API and Folium Interactive Mapping | This notebook demonstrates how to setup the Earth Engine and provides several examples for visualizing Earth Engine processed data interactively using the folium library | Qiusheng Wu | |
20.01.2020 | |
| Train a GPT-2 Model on Tweets | Train the model on your downloaded tweets, and generate massive amounts of Tweets from it | Max Woolf | |
16.01.2020 | |
| Traffic counting | Making Road Traffic Counting App based on Computer Vision and OpenCV | Andrey Nikishaev | |
10.01.2020 | |
| Siamese NN | Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task | Tomasz Latkowski |
|
|
19.12.2019 |
| Learning to Paint | Learning to Paint With Model-based Deep Reinforcement Learning | Manuel Romero | |
17.12.2019 | |
| Imaging-AMARETTO | An imaging genomics software tool to systematically interrogate multi-omics networks for relevance to radiography and histopathology imaging biomarkers of clinical outcomes with application to studies of brain tumors | |
29.11.2019 | ||
| Face toolbox | A collection of deep learning frameworks ported to Keras for face detection, face segmentation, face parsing, iris detection, and face verification | shaoanlu |  |
|
03.10.2019 |
| Generating Piano Music with Transformer | This Colab notebook lets you play with pretrained Transformer models for piano music generation, based on the Music Transformer | |
16.09.2019 | ||
| Few-shot face translation | A GAN based approach for one model to swap them all: model is capable of producing faces that has its gaze direction, glasses, and hiar occlusions being consistent with given source face | shaoanlu |
|
|
02.09.2019 |
| Waifu2x | This is the Google Colab implementation of tsurumeso's chainer implementation of waifu2x | Margesh Phirke | |
23.08.2019 | |
| GMCNN | Generative Multi-column Convolutional Neural Networks inpainting model in Keras | Tomasz Latkowski | |
09.08.2019 | |
| AMARETTO | Multiscale and multimodal inference of regulatory networks to identify cell circuits and their drivers shared and distinct within and across biological systems of human disease | |
25.07.2019 | ||
| XLNet | Generalized Autoregressive Pretraining for Language Understanding | Zhilin Yang | |
28.06.2019 | |
| Breast Cancer detection | A Neural Network for detecting breast cancer in cell scans! | Peter Teoh | blog post | |
28.04.2019 |
| GazeML | Eye region landmarks detection | shaoanlu | |
03.04.2019 | |
| BERT with TPU | Using a free Colab Cloud TPU to fine-tune sentence and sentence-pair classification tasks built on top of pretrained BERT models and run predictions on tuned model | Sourabh Bajaj | |
29.03.2019 | |
| automl-gs on a TPU | Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning or deep learning model plus native Python code pipelines allowing you to integrate that model into any prediction workflow | Max Woolf | |
|
26.03.2019 |
| GANSynth | This notebook is a demo GANSynth, which generates audio with Generative Adversarial Networks | Jesse Engel | |
25.02.2019 | |
| Edge Detection | Edge detection in OpenCV and skimage | Yuhuang Hu |  |
|
15.02.2019 |
| BERT on TF Hub | Predicting Movie Review Sentiment with BERT on TF Hub | Dale Markowitz | |
12.02.2019 | |
| Mask R-CNN | Code and visualizations to test, debug, and evaluate the Mask R-CNN model | |
22.01.2019 | ||
| Faceswap-GAN | A minimum demo for faceswap-GAN v2.2 | shaoanlu | |
|
08.11.2018 |
| RSNA Pneumonia Detection Challenge (Kaggel API) | The basics of parsing the competition dataset, training using a detector basd on the Mask-RCNN algorithm for object detection and instance segmentation | tmoneyx01 | |
03.09.2018 | |
| HoF | This notebook will walk you step by step through the process of using a pre-trained model to detect faces in an image | Lucas Persona | |
23.04.2018 | |
| Group Normalization | A simple alternative to BN. GN divides the channels into groups and computes within each group the mean and variance for normalization. | shaoanlu | |
26.03.2018 | |
| Latent Constraints | Conditional Generation from Unconditional Generative Models | |
27.11.2017 | ||
| Performance RNN | This notebook shows you how to generate new performed compositions from a trained model | |
11.07.2017 | ||
| NSynth | This colab notebook has everything you need to upload your own sounds and use NSynth models to reconstruct and interpolate between them | |
06.04.2017 |
| name | description | authors | links | colaboratory | update |
|---|---|---|---|---|---|
| NMT with attention | This notebook trains a seq2seq model for Spanish to English translation | Billy Lamberta |
|
|
29.11.2021 |
| Text generation with RNN | This tutorial demonstrates how to generate text using a character-based RNN | Billy Lamberta | |
29.11.2021 | |
| Classify text with BERT | This tutorial contains complete code to fine-tune BERT to perform sentiment analysis on a dataset of plain-text IMDB movie reviews |
|
|
29.11.2021 | |
| Image classification | This tutorial shows how to classify images of flowers | Billy Lamberta |  |
|
28.11.2021 |
| Transfer learning and fine-tuning | You will learn how to classify images of cats and dogs by using transfer learning from a pre-trained network | François Chollet | |
24.11.2021 | |
| FLAML | Lightweight Python library that finds accurate machine learning models automatically, efficiently and economically | |
23.11.2021 | ||
| ruGPT3 | Example of inference of RuGPT3XL | Anton Emelyanov | |
17.11.2021 | |
| Simple audio recognition | This tutorial will show you how to build a basic speech recognition network that recognizes ten different words | |
17.11.2021 | ||
| CompilerGym | A reinforcement learning toolkit for compiler optimizations | |
16.11.2021 | ||
| Pix2Pix | This notebook demonstrates image to image translation using conditional GAN's | Billy Lamberta | |
10.11.2021 | |
| Word embeddings | This tutorial contains an introduction to word embeddings | Billy Lamberta | |
10.11.2021 | |
| Integrated gradients | This tutorial demonstrates how to implement Integrated Gradients, an Explainable AI technique |
|
|
09.11.2021 | |
| Image captioning | Given an image our goal is to generate a caption | Billy Lamberta | |
09.11.2021 | |
| Detectron2 | FAIR's next-generation platform for object detection and segmentation | Yuxin Wu | |
05.11.2021 | |
| Federated Learning for Image Classification | In this tutorial, we use the classic MNIST training example to introduce the Federated Learning API layer of TFF, tff.learning - a set of higher-level interfaces that can be used to perform common types of federated learning tasks, such as federated training, against user-supplied models implemented in TensorFlow | Krzysztof Ostrowski |
|
|
03.11.2021 |
| Image segmentation | This tutorial focuses on the task of image segmentation, using a modified U-Net | Billy Lamberta | |
26.10.2021 | |
| Data augmentation | This tutorial demonstrates data augmentation: a technique to increase the diversity of your training set by applying random transformations such as image rotation | Billy Lamberta | |
21.10.2021 | |
| YOLOv5 on Custom Objects | This notebook shows training on your own custom objects | Jacob Solawetz | |
20.10.2021 | |
| GLUE using BERT on TPU | This tutorial contains complete end-to-end code to train models on a TPU | |
19.10.2021 | ||
| Text classification with RNN | This text classification tutorial trains a recurrent neural network on the IMDB large movie review dataset for sentiment analysis | Billy Lamberta | |
12.10.2021 | |
| Custom Federated Algorithms, Part 1: Introduction to the Federated Core | This tutorial is the first part of a two-part series that demonstrates how to implement custom types of federated algorithms in TensorFlow Federated using the Federated Core - a set of lower-level interfaces that serve as a foundation upon which we have implemented the Federated Learning layer | Krzysztof Ostrowski |
|
|
07.10.2021 |
| IC-GAN | Instance-Conditioned GAN |
|
|
01.10.2021 | |
| highway-env | A collection of environments for autonomous driving and tactical decision-making tasks | Edouard Leurent |
|
|
18.09.2021 |
| Word2Vec | Word2Vec is not a singular algorithm, rather, it is a family of model architectures and optimizations that can be used to learn word embeddings from large datasets | |
15.09.2021 | ||
| Droidlet | A modular embodied agent architecture and platform for building embodied agents |
|
|
15.09.2021 | |
| GPT-J-6B | A 6 billion parameter, autoregressive text generation model trained on The Pile | |
15.09.2021 | ||
| Sentence Transformers | Multilingual Sentence, Paragraph, and Image Embeddings using BERT & Co |
|
|
13.09.2021 | |
| Actor-Critic | This tutorial demonstrates how to implement the Actor-Critic method using TensorFlow to train an agent on the Open AI Gym CartPole-V0 environment | Mark Daoust |
|
|
08.09.2021 |
| TFF for Federated Learning Research: Model and Update Compression | In this tutorial, we use the EMNIST dataset to demonstrate how to enable lossy compression algorithms to reduce communication cost in the Federated Averaging algorithm | Weikang Song | |
02.09.2021 | |
| Building Your Own Federated Learning Algorithm | In this tutorial, we discuss how to implement federated learning algorithms without deferring to the tff.learning API | Zachary Charles | |
02.09.2021 | |
| Federated Learning for Text Generation | For this tutorial, we start with a RNN that generates ASCII characters, and refine it via federated learning | Krzysztof Ostrowski | |
02.09.2021 | |
| Custom Federated Algorithms, Part 2: Implementing Federated Averaging | This tutorial is the second part of a two-part series that demonstrates how to implement custom types of federated algorithms in TFF using the Federated Core, which serves as a foundation for the Federated Learning layer | Krzysztof Ostrowski |
|
|
02.09.2021 |
| High-performance simulations with TFF | This tutorial will describe how to setup high-performance simulations with TFF in a variety of common scenarios | Krzysztof Ostrowski | |
|
02.09.2021 |
| High-performance Simulation with Kubernetes | This tutorial will describe how to set up high-performance simulation using a TFF runtime running on Kubernetes | Jason Roselander | |
02.09.2021 | |
| Transformer | This tutorial trains a Transformer model to translate Portuguese to English | Billy Lamberta |
|
|
24.08.2021 |
| Lucid Sonic Dreams | Syncs GAN-generated visuals to music | Mikael Alafriz |
|
|
24.08.2021 |
| The Autodiff Cookbook | You'll go through a whole bunch of neat autodiff ideas that you can cherry pick for your own work, starting with the basics | |
04.08.2021 | ||
| LightAutoML | Framework for automatic classification and regression model creation | |
10.07.2021 | ||
| Neural style transfer | This tutorial uses deep learning to compose one image in the style of another image | Billy Lamberta | |
|
15.06.2021 |
| Autoencoders | This tutorial introduces autoencoders with three examples: the basics, image denoising, and anomaly detection | |
08.06.2021 | ||
| Introduction to the TensorFlow Models NLP library | You will learn how to build transformer-based models for common NLP tasks including pretraining, span labelling and classification using the building blocks from NLP modeling library | Chen Chen | |
06.06.2021 | |
| CycleGAN | This notebook demonstrates unpaired image to image translation using conditional GAN's | Billy Lamberta | |
02.06.2021 | |
| CNN | This tutorial demonstrates training a simple Convolutional Neural Network to classify CIFAR images | Billy Lamberta | |
21.05.2021 | |
| Custom GPT-2 + Tokenizer | Train a custom GPT-2 model for free on a GPU using aitextgen! | Max Woolf | |
17.05.2021 | |
| Train a GPT-2 Text-Generating Model | Retrain an advanced text generating neural network on any text dataset for free on a GPU using Colaboratory using aitextgen! | Max Woolf | |
17.05.2021 | |
| EasyNMT | Easy to use, state-of-the-art machine translation for more than 100+ languages | Nils Reimers |
|
|
26.04.2021 |
| Deep-MAC | Welcome to the Novel class segmentation demo | Vighnesh Birodkar | |
02.04.2021 | |
| GPT Neo | An implementation of model & data parallel GPT2 & GPT3 -like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library | EleutherAI |
|
|
28.03.2021 |
| CVAE | This notebook demonstrates how train a Variational Autoencoder on the MNIST dataset | Billy Lamberta | , |
|
22.03.2021 |
| DCGAN | This tutorial demonstrates how to generate images of handwritten digits using a Deep Convolutional Generative Adversarial Network | Billy Lamberta |
|
|
12.03.2021 |
| DeepDream | This tutorial contains a minimal implementation of DeepDream: an experiment that visualizes the patterns learned by a neural network | Billy Lamberta | |
12.03.2021 | |
| Adversarial FGSM | This tutorial creates an adversarial example using the Fast Gradient Signed Method attack. This was one of the first and most popular attacks to fool a neural network. | Billy Lamberta | |
12.03.2021 | |
| GAN steerability | We will navigate in GAN latent space to simulate various camera transformations |
|
|
05.03.2021 | |
| TF-Ranking | This tutorial is an end-to-end walkthrough of training a TensorFlow Ranking neural network model which incorporates sparse textual features | Rama Kumar |
|
|
04.02.2021 |
| TensorNetwork | A library for easy and efficient manipulation of tensor networks | Chase Roberts |
|
|
21.01.2021 |
| Spleeter | Deezer source separation library including pretrained models | |
10.01.2021 | ||
| Eager Few Shot Object Detection | Fine tuning of a RetinaNet architecture on very few examples of a novel class after initializing from a pre-trained COCO checkpoint | kmindspark | |
11.07.2020 | |
| YOLOv4 | This tutorial will help you build YOLOv4 easily in the cloud with GPU enabled so that you can run object detections in milliseconds! | Aleksey Bochkovskiy |
|
|
25.06.2020 |
| Context R-CNN Demo | This notebook will walk you step by step through the process of using a pre-trained model to build up a contextual memory bank for a set of images, and then detect objects in those images+context using Context R-CNN | pkulzc | |
17.06.2020 | |
| GAN Dissection | Visualizing and Understanding Generative Adversarial Networks | |
04.05.2020 | ||
| Transfer Learning in NLP | This notebook accompanies the tutorial given at NAACL 2019 on Transfer Learning in Natural Language Processing |
|
|
03.06.2019 | |
| RSNA Pneumonia Detection Challenge (MD.ai API) | The basics of parsing the competition dataset, training using a detector basd on the Mask-RCNN algorithm for object detection and instance segmentation | tmoneyx01 | |
29.08.2018 | |
| Python Data Science Handbook | Jupyter notebook version of the Python Data Science Handbook by Jake VanderPlas | Jake Vanderplas | |
14.08.2017 |
(generated by generate_markdown.py based on research.json and tutorials.json)