🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

A library for efficient similarity search and clustering of dense vectors.

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

An autoregressive character-level language model for making more things

Writing Interpreters in Rust: a Guide

Count your code, quickly.

Rust examples for all 23 classic GoF design patterns, and even a little more

Cap'n Proto for Rust

Official Rust implementation of Apache Arrow

Rust bindings for the C++ api of PyTorch.

General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX

[CVPR2023] Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning (https://arxiv.org/abs/2212.04500)

[CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"

Code release for ICCV 2021 paper "Anticipative Video Transformer"

OpenMMLab Pose Estimation Toolbox and Benchmark.

[ICCV 2023] PyTorch Implementation of "MotionBERT: A Unified Perspective on Learning Human Motion Representations"

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

This is the official implementation of the paper "MotionMixer: MLP-based 3D Human Body Pose Forecasting" (IJCAI 2022, oral-presentation).

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

Code and documentation to train Stanford's Alpaca models, and generate the data.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Aligning pretrained language models with instruction data generated by themselves.

SiLK (Simple Learned Keypoint) is a self-supervised deep learning keypoint model.

Inpaint anything using Segment Anything and inpainting models.