Google Research

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

A small library for automatical adjustment of text position in matplotlib plots to minimize overlaps.

Single File, Single GPU, From Scratch, Efficient, Full Parameter Tuning library for "RL for LLMs"

This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

Kaggle airbus ship detection challenge 21st solution

Snowflake dataset containing statistics for 70 million queries over 14 day period

Tutorial to get started with SkyPilot!

WACM Machine Learning Workshop