aurora95

aurora95's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python163k1.6k2.2k43.3k

• ChatGPTNextWeb/ChatGPT-Next-Web

  A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。

  Language:TypeScript72k4002.7k57.3k

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook66.3k5586999.9k

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook45.1k2996505.3k

• apache/arrow

  Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

  Language:C++13.8k35224.3k3.4k

• BlinkDL/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.

  Language:Python11.9k137196819

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python11.2k99370901

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook11k973331.4k

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python7.4k32276941

• codertimo/BERT-pytorch

  Google AI 2018 BERT pytorch implementation

  Language:Python6.1k125871.3k

• hojonathanho/diffusion

  Denoising Diffusion Probabilistic Models

  Language:Python3.4k1920336

• GuyTevet/motion-diffusion-model

  The official PyTorch implementation of the paper "Human Motion Diffusion Model"

  Language:Python2.9k67195308

• YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy

  Diffusion model papers, survey, and taxonomy

  2.8k537242

• pengzhiliang/MAE-pytorch

  Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

  Language:Python2.6k2496346

• google/neural-tangents

  Fast and Easy Infinite Neural Networks in Python

  Language:Jupyter Notebook2.2k63152227

• cvxgrp/cvxpylayers

  Differentiable convex optimization layers

  Language:Python1.7k53112155

• VainF/Awesome-Anything

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

  1.7k53192

• facebookresearch/theseus

  A library for differentiable nonlinear optimization

  Language:Python1.6k31183121

• chq1155/A-Survey-on-Generative-Diffusion-Model

  86813554

• nv-tlabs/ASE

  Language:Python7072175119

• MarkMoHR/Awesome-Referring-Image-Segmentation

  :books: A collection of papers about Referring Image Segmentation.

  56215854

• locuslab/optnet

  OptNet: Differentiable Optimization as a Layer in Neural Networks

  Language:Python48928676

• SysCV/pcan

  Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight

  Language:Python36193450

• RUCAIBox/PLMPapers

  A paper list of pre-trained language models (PLMs).

  1365018

• heyuanYao-pku/Control-VAE

  Language:C++12681012

• ziplab/Mesa

  This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".

  Language:Python119539

• ruosongwang/CNTK

  Convolutional Neural Tangent Kernel

  Language:Python1085112

• alexpashevich/E.T.

  Episodic Transformer (E.T.) is a novel attention-based architecture for vision-and-language navigation. E.T. is based on a multimodal transformer that encodes language inputs and the full episode history of visual observations and actions.

  Language:C8351718

• LeoYu/neural-tangent-kernel-UCI

  Testing Nerual Tangent Kernel (NTK) on small UCI datasets

  Language:Python807024

• zxy556677/EasyGen

  The official code for paper "EasyGen: Easing Multimodal Generation with a Bidirectional Conditional Diffusion Model and LLMs"

  Language:Python68143