RichHF-18K dataset contains rich human feedback labels we collected for our CVPR'24 paper: https://arxiv.org/pdf/2312.10240, along with the file name of the associated labeled images (no urls or im…

MLX: An array framework for Apple silicon

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Evaluation of parallel regular expression matching on GPU

Exact structure out of any language model completion.

Use context-free grammars with an LLM

Interact with your documents using the power of GPT, 100% privately, no data leaks

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

Official supported Python bindings for llama.cpp + gpt4all

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Instruct-tune LLaMA on consumer hardware

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Train transformer language models with reinforcement learning.

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

The simplest, fastest repository for training/finetuning medium-sized GPTs.

[CVPR'2022] SAM-DETR & SAM-DETR++: Official PyTorch Implementation

[ICLR'23 Spotlight & ECCV'24 & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

A latent text-to-image diffusion model

NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art resul…

[ICML 2022] Official PyTorch implementation of the paper "Unsupervised Image Representation Learning with Deep Latent Particles"

We propose a new method for effective shadow removal by regarding it as an exposure fusion problem.

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

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

This is an official implementation for "Self-Supervised Learning with Swin Transformers".

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch