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A topic-centric list of HQ open datasets.
PRML algorithms implemented in Python
GPU accelerated GWAS framework based on TensorFlow
A collection of various deep learning architectures, models, and tips
Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
Lectures on scientific computing with python, as IPython notebooks.
Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+
An introduction to implementing a number of scikit-learn classifiers, along with some data exploration
Code companion to the O'Reilly "Fundamentals of Deep Learning" book
A convolutional neural network from scratch
🔥 2D and 3D Face alignment library build using pytorch
Training code for the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.
Code repository for Artificial Intelligence with Python, published by Packt
The "Python Machine Learning (2nd edition)" book code repository and info resource
A MNIST-like fashion product database. Benchmark 👇
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …
Text and supporting code for Think Stats, 2nd Edition
Deep Learning with TensorFlow by Packt
Code repository for Deep Learning with Keras published by Packt
Code repository for Python Deep Learning, published by Packt
Deep neural networks for predicting CpG methylation
code for Data Science From Scratch book
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Foundations of Machine Learning course at CentraleSupelec (Fall 2016)