Modular CLI pipeline for fine‑tuning RF‑DETR object detection models on custom datasets.

A curated list of awesome mathematics resources

Python package for automated document cross-referencing

[NeurIPS 2025] SpatialLM: Training Large Language Models for Structured Indoor Modeling

My goal here is to create a standard candle for extensions to a basic AR game

Official PyTorch implementation for "Large Language Diffusion Models"

Speed up model training by fixing data loading.

Get Mi Home devices token Windows/MacOS app.

This tool retrieves tokens for all devices connected to Xiaomi cloud and encryption keys for BLE devices.

Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

A field-tested Hebrew tokenizer for dirty texts (ben-yehuda project, bible, cc100, mc4, opensubs, oscar, twitter) focused on multi-word expression extraction.

Code for the CRAC 2021 paper "On Generalization in Coreference Resolution" (Best short paper award)

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

Natural Language Processing tasks focused on Biological domain

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…

ViLMedic (Vision-and-Language medical research) is a modular framework for vision and language multimodal research in the medical field

VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning

Guessing the word given an incomplete word and its description

MLops tools review for execution on multiple cluster types: slurm, kubernetes, dask...

A PyTorch implementation of Perceiver, Perceiver IO and Perceiver AR with PyTorch Lightning scripts for distributed training

Code for "Proposition-Level Clustering for Multi-Document Summarization" paper

Fast and Simple Neural Vocoder, the Multiband RNNMS

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

Bayesian active learning library for research and industrial usecases.

Automate issue discovery for your projects against Lightning nightly and releases.