Best Practices on Recommendation Systems

Machine learning, in numpy

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

Most popular metrics used to evaluate object detection algorithms.

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

Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries

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

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

Sequential Monte Carlo in python

A Variational Autoencoder (VAE) implemented in PyTorch

Just a little MCMC

Multimodal Mixture-of-Experts VAE

Metrics for model evaluation in pytorch

A tiny module for machine learning experiment orchestration

A minimal pytorch implementation of VAE, IWAE, MIWAE

Hyperparameter optimization via gradient boosting regression

Track your ML project!