Stars
Attention Based Image Captioning Using Object Features
SOTA Semantic Segmentation Models in PyTorch
A License Plate Image Reconstruction Project in Tensorflow2
"You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement"
A resource for learning about Machine learning & Deep Learning
Real-world Anomaly Detection in Surveillance Videos- pytorch Re-implementation
Pretrained Language Models for Korean
Implementation of popular deep learning networks with TensorRT network definition API
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
Scenic: A Jax Library for Computer Vision Research and Beyond
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Unofficial implementation of ResNet3D and CSN (Channel-Separated Convolutional Networks) from Video Classification with Channel-Separated Convolutional Networks
'Good' GStreamer plugins and helper libraries. This module has been merged into the main GStreamer repo for further development.
'Bad' GStreamer plugins and helper libraries. This module has been merged into the main GStreamer repo for further development.
Optical Flow Guided Feature for Action Recognition-Pytorch
WoodsGao / pytorch2caffe
Forked from xxradon/PytorchToCaffeA module to convert pytorch model to caffe model.
C++ Library Manager for Windows, Linux, and MacOS
(unofficial) Googletrans: Free and Unlimited Google translate API for Python. Translates totally free of charge.
pytorch -> onnx -> caffe, pytorch to caffe, or other deep learning framework to onnx and onnx to caffe.
Examples of converting different open-source deep learning models to TAO compatible format through TAO BYOM package.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Real-time fire detection in image/video/webcam using a convolutional neural network (deep learning) - from our ICMLA 2020 paper (Thomson / Bhowmik / Breckon)
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approaches for achieving this in this repo.
Non-official implement of Paper:CBAM: Convolutional Block Attention Module