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addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

aml-reproducability-challenge

applied-ml

📚 Papers & articles of companies sharing their work on applied data science & machine learning.

auto-sklearn

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

caffe

Caffe: a Fast framework for neural networks. For the most recent version, check out branch dev. For a more stable version, check out branch master.

causalml

Uplift modeling and causal inference with machine learning algorithms

cis530_final_project

d2l-en

An interactive deep learning book with code, math, and discussions, based on the NumPy interface.

depthfirstlearning.com

djgirls

edward2

A lightweight probabilistic programming language in NumPy or TensorFlow.

flax

gpt-2-pytorch

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

haiku

JAX-based neural network library

hello--world

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code

jax

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

jaxnet

Alternative to TensorFlow2/Keras/PyTorch for more concise, robust and optimized deep learning code

k-fold-cv-benchmark

kernel_exp_family

Various estimators of the infinite dimensional exponential family model

learndatascience

Open Content for self-directed learning in data science

leetcode-python

LeetCode problems in Python

lucid

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

machine_learning

Python coded examples and documentation of machine learning algorithms.

matplotlib

matplotlib: plotting with Python

mcx

Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.

minitorch.github.io

Docs

ml_prep

Machine Learning interview prep guide