deep-warrior

auto-sklearn

Automated Machine Learning with scikit-learn

boltzmann-machines

Boltzmann Machines in TensorFlow with examples

catalyst

Reproducible and fast DL & RL.

deep_complex_networks

Implementation related to the Deep Complex Networks

deepbayes-2018

Seminars DeepBayes Summer School 2018

deepfloat

An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.

homebrew-core

🍻 Default formulae for the missing package manager for macOS

pymc4

A high-level probabilistic programming interface for TensorFlow Probability

ignite

High-level library to help with training neural networks in PyTorch

inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

kaggle-camera

My solution to kaggle challenge "Camera Model Identification" [#17/582, top 2.9%]

lda

Topic modeling with latent Dirichlet allocation using Gibbs sampling

lucid

A collection of infrastructure and tools for research in neural network interpretability.

markdown-preview-enhanced

One of the 'BEST' markdown preview extensions for Atom editor!

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

Parametric-t-SNE-in-Keras

a python implementation of Parametric t-SNE in Keras

pennylane

PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations

pillow-simd

The friendly PIL fork

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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 ;)

probability

Probabilistic reasoning and statistical analysis in TensorFlow

python-fire

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

pytorch-goodies

repo2docker

Turn git repositories into Jupyter enabled Docker Images

spinningup

An educational resource to help anyone learn deep reinforcement learning.

tensorspace

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

tools

:hammer: A collection of various short (standalone) scripts/tools

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

torchsample

High-Level Training, Data Augmentation, and Utilities for Pytorch

WaveFunctionCollapse

Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics.