HugoAhoy

HugoAhoy's Stars

• ant-design/ant-design

  An enterprise-class UI design language and React UI library

  Language:TypeScript93.1k24230.7k50.7k

• facebookresearch/detr

  End-to-End Object Detection with Transformers

  Language:Python13.9k1505262.5k

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python13.7k554994.9k

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python10.8k815061k

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6.7k4583597

• FoundationVision/VAR

  [NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

  Language:Jupyter Notebook6.7k120109446

• openai/guided-diffusion

  Language:Python6.5k140142839

• yenchenlin/nerf-pytorch

  A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

  Language:Python5.6k521181.1k

• LaurentMazare/tch-rs

  Rust bindings for the C++ api of PyTorch.

  Language:Rust4.5k51575352

• pytorch/serve

  Serve, optimize and scale PyTorch models in production

  Language:Java4.3k571.7k867

• LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

  Solutions of Reinforcement Learning, An Introduction

  Language:Jupyter Notebook2.1k3885469

• hendrycks/math

  The MATH Dataset (NeurIPS 2021)

  Language:Python975122088

• WecoAI/aideml

  AIDE: the state-of-the-art machine learning engineer agent, generating machine learning solution code from natural language descriptions.

  Language:Python688191381

• AILab-CVC/SEED

  Official implementation of SEED-LLaMA (ICLR 2024).

  Language:Python595155132

• openai/mle-bench

  MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering

  Language:Python58391264

• google-research/maskgit

  Official Jax Implementation of MaskGIT

  Language:Jupyter Notebook472171250

• tuna/thulib-latex-talk

  《如何使用 LaTeX 排版论文》讲稿

  Language:TeX46121978

• yaoyao-liu/few-shot-classification-leaderboard

  Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.

  Language:HTML38615773

• xplip/pixel

  Research code for pixel-based encoders of language (PIXEL)

  Language:Python33371733

• deepseek-ai/DeepSeek-Prover-V1.5

  Language:Python2628732

• ehoogeboom/multinomial_diffusion

  Language:Python20951418

• chxy95/Deep-Mutual-Learning

  An unofficial implementation of 《Deep Mutual Learning》 by Pytorch to do classification on cifar100.

  Language:Python1634831

• Con6924/SPM

  Official implementation of paper "One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications".

  Language:Python1307912

• didriknielsen/argmax_flows

  Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"

  Language:Python83215

• lucidrains/product-key-memory

  Standalone Product Key Memory module in Pytorch - for augmenting Transformer models

  Language:Python76315

• ArchipLab-LinfengZhang/contrastive-deep-supervision

  Codes for ECCV2022 paper - contrastive deep supervision

  Language:Python68314

• shawntan/stickbreaking-attention

  Stick-breaking attention

  Language:Python41531

• vimhandbook/vimhandbook.github.io

  《Vim 练级手册》一书是本开源的 Vim 教程，尽我所能的介绍 Vim 的相关知识

  Language:HTML3715

• chuanyang-Zheng/DAPE

  The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"

  Language:Python33110

• wuw2019/R-AMT

  Language:Python21220