Kaidi Cao (kaidic)

kaidic

Geek Repo

Company:Stanford University

Location:Stanford, CA

Home Page:https://ai.stanford.edu/~kaidicao/

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Kaidi Cao's starred repositories

open-interpreter

A natural language interface for computers

Language:PythonLicense:AGPL-3.0Stargazers:50062Issues:371Issues:869

leetcode-master

《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Language:Jupyter NotebookLicense:MITStargazers:23231Issues:317Issues:385

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Language:PythonLicense:AGPL-3.0Stargazers:8937Issues:85Issues:354

tianshou

An elegant PyTorch deep reinforcement learning library.

Language:PythonLicense:MITStargazers:7559Issues:92Issues:717

gpt-fast

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

Language:PythonLicense:BSD-3-ClauseStargazers:5303Issues:63Issues:89

RepVGG

RepVGG: Making VGG-style ConvNets Great Again

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Medusa

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1967Issues:34Issues:76

chatgpt-web

ChatGPT web interface using the OpenAI API

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cvxpylayers

Differentiable convex optimization layers

Language:PythonLicense:Apache-2.0Stargazers:1742Issues:53Issues:112

LovaszSoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

Language:Jupyter NotebookLicense:MITStargazers:1363Issues:32Issues:34

pytorch_tabular

A standard framework for modelling Deep Learning Models for tabular data

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AutoGL

An autoML framework & toolkit for machine learning on graphs.

Language:PythonLicense:Apache-2.0Stargazers:1072Issues:28Issues:39

JEM

Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

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ProtoPNet

This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).

Language:PythonLicense:NOASSERTIONStargazers:332Issues:10Issues:19

coral-cnn

Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation

Language:PythonLicense:MITStargazers:332Issues:12Issues:38

simpleAI

An easy way to host your own AI API and expose alternative models, while being compatible with "open" AI clients.

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SSDA_MME

Semi-supervised Domain Adaptation via Minimax Entropy

Language:PythonLicense:MITStargazers:290Issues:7Issues:8

stark

STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

Language:PythonLicense:MITStargazers:234Issues:2Issues:5

group_DRO

Distributionally robust neural networks for group shifts

Language:PythonLicense:MITStargazers:226Issues:7Issues:13

OpenCompoundDomainAdaptation-OCDA

Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)

Language:PythonLicense:BSD-3-ClauseStargazers:139Issues:7Issues:11

marl_transfer

Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)

Language:PythonLicense:MITStargazers:106Issues:6Issues:5

aws-cv-task2vec

Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)

Language:PythonLicense:Apache-2.0Stargazers:105Issues:5Issues:22

3dinn

Single Image 3D Interpreter Network

physics_prediction

Codes for paper "Flexible Neural Representation for Physics Prediction".

cyclic-toposort

Implements sorting algorithm for directed acyclic as well as cyclic graphs. The directed cyclic graphs are sorted by determining the minimal amount of cyclic edges and optionally then also determining the maximum amount of groupings possible with a minimal amount of cyclic edges.

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