Self-study on Larry Wasserman's "All of Statistics"

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries

This is a ZSH plugin that enables you to use OpenAI's Codex AI in the command line.

Awesome curated RSS feed links related to Machine Learning, Artificial Intelligence, Reinforcement Learning

Labelling platform for text using weak supervision.

PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.

Deep Variational Reinforcement Learning

Ground truth image estimation used for the Smartphone Image Denoising Dataset (SIDD)

Best Practices on Recommendation Systems

macOS dotfiles — migrate, backup, config, brew, dev, and a whole lot more.

Sequential Monte Carlo in python

Metrics for model evaluation in pytorch

Just a little MCMC

Personal notes on Bayesian Machine Learning

An open-source, low-code machine learning library in Python

A Python utility library with a stdlib like feel and extra batteries. Paths, Progress, Dicts, Downloads, Caching, Hashing: ubelt makes it easy!

Most popular metrics used to evaluate object detection algorithms.

Hyperparameter optimization via gradient boosting regression

Multimodal Mixture-of-Experts VAE

Machine learning, in numpy

Notebooks about Bayesian methods for machine learning

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

Curated list of Python resources for data science.

A minimal pytorch implementation of VAE, IWAE, MIWAE

A Variational Autoencoder (VAE) implemented in PyTorch

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Track your ML project!