Stars
A collection of video resources for machine learning
Firefly III: a personal finances manager
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🤖 Machine Learning Summer School Guide
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
Latex code for making neural networks diagrams
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Implementation of our ECCV '18 paper " Deep Expander Networks: Efficient Deep Networks from Graph Theory".
Extensible, parallel implementations of t-SNE
Parris, the automated infrastructure setup tool for machine learning algorithms.
Open-source simulator for autonomous driving research.
Deep neural networks for voice conversion (voice style transfer) in Tensorflow
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Natural Language Processing Tasks and References
A PyTorch implementation of a Factorization Machine module in cython.
Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
pprofile + matplotlib = Python program profiled as an awesome heatmap!
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Visualization Toolbox for Long Short Term Memory networks (LSTMs)