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recursive-drawing

reditools

REDItools are python scripts to investigate RNA editing at genomic scale.

redoc

📘 OpenAPI/Swagger-generated API Reference Documentation

redpajama-data

The RedPajama-Data repository contains code for preparing large datasets for training large language models.

refacer

Refacer: One-Click Deepfake Multi-Face Swap Tool

reflexion

Reflexion: Language Agents with Verbal Reinforcement Learning

relaxed-terminal-themes

🕶️ A relaxed terminal theme to take a more relaxed view of things. For iTerm, Hyper, the macOS Terminal and a bunch of others.

relora

Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates

remedi

Measuring and Manipulating Knowledge Representations in Language Models

replit-v1-codeinstruct-3b-colab

reprover

Retrieval-Augmented Theorem Provers for Lean

requests-for-research

A living collection of deep learning problems

rerope

Rectified Rotary Position Embeddings

research-blog

A Ghost Theme that is similar to Distill.pub's style

restructured-pretraining

reStructured Pre-training

rethinking-demonstrations

revolt

Repository for miscellaneous repository management and discussions: https://github.com/revoltchat/revolt/discussions

rewoo

Decoupling Reasoning from Observations for Efficient Augmented Language Models

rfdiffusion

Code for running RFdiffusion

rift

Rift: an AI-native language server for your personal AI software engineer

ristretto

A high performance memory-bound Go cache

rocket.chat

The communications platform that puts data protection first.

rocm

AMD ROCm™ Platform - GitHub Home

rosettafold

This package contains deep learning models and related scripts for RoseTTAFold

rt-2

Democratization of RT-2 "RT-2: New model translates vision and language into action"

rtv

runpod-python

🐍 | Python library for RunPod API and serverless worker SDK.

rust-crypto

A (mostly) pure-Rust implementation of various cryptographic algorithms.

rwkv-lm

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

safety-starter-agents

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.