Image-to-Image Translation in PyTorch

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

A Collection of Variational Autoencoders (VAE) in PyTorch.

General plug-and-play inference library for Recursive Language Models (RLMs), supporting various sandboxes.

PyTorch deep learning projects made easy.

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

POT : Python Optimal Transport

Implements harmful/harmless refusal removal using pure HF Transformers

Synthetic data curation for post-training and structured data extraction

Reinforcement Learning via Self-Distillation (SDPO)

Constrained optimization toolkit for PyTorch

Finetune any multiagent system on any task w/ MAPPA

SDK for robotics teams to verify the quality of their data used for AI model training.

Autoresearcher + wandb + datadog + overleaf + claude code. All local, all free. Boot a node, git clone, fill the form, let it rip.

Python package for multi-view machine learning

Pretrained GANs in PyTorch: StyleGAN2, BigGAN, BigBiGAN, SAGAN, SNGAN, SelfCondGAN, and more

This project includes code for using the AsyncWebRL and WebGym frameworks to train web agent models.

Code for "Variational Autoencoder with Learned Latent Structure"

An implementation of Olshausen and Field (96) in PyTorch

Sriti Core is an open-source, ultra-efficient intelligent routing proxy and cascading engine for Large Language Models. For more details https://getsriti.ai

format your codebase with only 20,000 api calls via an LLM-powered linter/formatter