fwalch
Follow
Stars
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A game theoretic approach to explain the output of any machine learning model.
The fastai book, published as Jupyter Notebooks
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Image restoration with neural networks but without learning.
Visualizations for machine learning datasets
The Udacity open source self-driving car project
A scikit-learn compatible neural network library that wraps PyTorch
From the basics to slightly more interesting applications of Tensorflow
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
A collection of infrastructure and tools for research in neural network interpretability.
Probabilistic reasoning and statistical analysis in TensorFlow
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
An educational software system of a tiny self-compiling C compiler, a tiny self-executing RISC-V emulator, and a tiny self-hosting RISC-V hypervisor.
A clear, concise, simple yet powerful and efficient API for deep learning.
subpixel: A subpixel convnet for super resolution with Tensorflow
Dense image captioning in Torch
A toolkit for controlling Euro Truck Simulator 2 with the end-to-end driving model
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
Various tutorials given for welcoming new students at MILA.
Boltzmann Machines in TensorFlow with examples
Numerical Tours of Signal Processing
Pytorch easy-to-follow Capsule Network tutorial
Evaluation of the CNN design choices performance on ImageNet-2012.