ashleve

pydantic

Data validation using Python type hints

testing-ml

Learn how to create reliable ML systems by testing code, data and models.

seldon-core

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

utilities

Common Python utilities and GitHub Actions in Lightning Ecosystem

github-action-markdown-link-check

Check all links in markdown files if they are alive or dead. 🔗✔️

albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

ControlNet

Let us control diffusion models!

MiniChain

A tiny library for coding with large language models.

orion

Asynchronous Distributed Hyperparameter Optimization.

yacs

YACS -- Yet Another Configuration System

gin-config

Gin provides a lightweight configuration framework for Python

dynaconf

Configuration Management for Python ⚙

understanding-the-python-ecosystem

This project focuses on understanding the language ecosystem

hydra-wandb-sweeper

WandB sweeps integration with Hydra sweeper

lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

simulate

🎢 Creating and sharing simulation environments for embodied and synthetic data research

obsidian-ava

Quickly format your notes with ChatGPT in Obsidian

backend-GPT

hlb-CIFAR10

Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

comparing-automatic-augmentation-blog

Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment

small-text

Active Learning for Text Classification in Python

jury

Comprehensive NLP Evaluation System

surgeon-pytorch

A library to inspect and extract intermediate layers of PyTorch models.

argilla

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

contextualized-topic-models

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

torchscale

Foundation Architecture for (M)LLMs

ppo-implementation-details

The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)