vieozhu

vieozhu's Stars

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  307k8.8k47677k

• 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 Notebook47.9k3086755.7k

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.5k3996409.6k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16.3k4403.3k7k

• pybind/pybind11

  Seamless operability between C++11 and Python

  Language:C++15.8k2492.1k2.1k

• overleaf/overleaf

  A web-based collaborative LaTeX editor

  Language:JavaScript14.2k2111k1.5k

• pytorch/tutorials

  PyTorch tutorials.

  Language:Jupyter Notebook8.3k1798154.1k

• lucidrains/PaLM-rlhf-pytorch

  Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

  Language:Python7.7k14347669

• DefTruth/lite.ai.toolkit

  🛠 A lite C++ toolkit of 100+ Awesome AI models, support ORT, MNN, NCNN, TNN and TensorRT. 🎉🎉

  Language:C++3.7k67268701

• pytorch/text

  Models, data loaders and abstractions for language processing, powered by PyTorch

  Language:Python3.5k313798812

• facebookresearch/vissl

  VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

  Language:Jupyter Notebook3.3k54173333

• LangLangShanDeNanKe/chatgpt

  ChatGPT网址导航，分享免费好用AI网站！

  2.4k2963199

• KMnP/vpt

  ❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119

  Language:Python1.1k87491

• THUDM/SwissArmyTransformer

  SwissArmyTransformer is a flexible and powerful library to develop your own Transformer variants.

  Language:Python1k327998

• RL-VIG/LibFewShot

  LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.

  Language:Python9272678172

• AntreasAntoniou/HowToTrainYourMAMLPytorch

  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

  Language:Python7851342138

• google-research/meta-dataset

  A dataset of datasets for learning to learn from few examples

  Language:Jupyter Notebook7662396139

• itrump/ssfree

  provide shadowsocks free tutorial and free account

  Language:Shell6363728124

• google-research/task_adaptation

  Language:Python311161535

• hjbahng/visual_prompting

  Exploring Visual Prompts for Adapting Large-Scale Models

  Language:Python2683730

• charlotteLive/pybind11-Chinese-docs

  pybind11中文文档（个人翻译）

  2522258

• hushell/pmf_cvpr22

  Language:Python18533924

• VICO-UoE/URL

  Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022

  Language:Python12682118

• jd-opensource/TeD-Q

  TeD-Q (Tensor-network enhanced Distributed Quantum) is a tensor network enhanced distributed hybrid quantum machine learning framework.

  Language:Python94244

• mboudiaf/pytorch-meta-dataset

  A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification

  Language:Python597259

• Han-Jia/UNICORN-MAML

  PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"

  Language:Python391107

• Haoqing-Wang/CPNWCP

  [ECCV 2022] Contrastive Prototypical Network with Wasserstein Confidence Penalty

  Language:Python11211

• sahamrit/HowToTrainYourMAMLPytorch

  Language:Python4100

• lightjiang/my_pkg

  This is a piece of source code of my blog which is about how to cmake a python file in ros system.

  Language:CMake1100

• vieozhu/SimCLR

  PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

  Language:Jupyter Notebook1000