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

mmdetection

OpenMMLab Detection Toolbox and Benchmark

Language:PythonLicense:Apache-2.0Stargazers:28691Issues:371Issues:8231

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Language:PythonLicense:MITStargazers:9273Issues:178Issues:1063

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

Language:PythonLicense:NOASSERTIONStargazers:8540Issues:247Issues:167

BasicSR

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

Language:PythonLicense:Apache-2.0Stargazers:6541Issues:94Issues:547

mmcv

OpenMMLab Computer Vision Foundation

Language:PythonLicense:Apache-2.0Stargazers:5759Issues:83Issues:1139

mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Language:PythonLicense:NOASSERTIONStargazers:5454Issues:115Issues:653

higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:3276Issues:78Issues:1

DeblurGAN

Image Deblurring using Generative Adversarial Networks

Language:PythonLicense:NOASSERTIONStargazers:2484Issues:60Issues:223

taichi_mpm

High-performance moving least squares material point method (MLS-MPM) solver. (ACM Transactions on Graphics, SIGGRAPH 2018)

Language:C++License:MITStargazers:2336Issues:95Issues:50

kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

Language:PythonLicense:Apache-2.0Stargazers:1720Issues:60Issues:119

hyperlearn

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1700Issues:88Issues:22

rethinking-network-pruning

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

Language:PythonLicense:MITStargazers:1502Issues:33Issues:54

pytorch-pose

A PyTorch toolkit for 2D Human Pose Estimation.

Language:PythonLicense:GPL-3.0Stargazers:1102Issues:31Issues:116

tps_stn_pytorch

PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)

FlowNetPytorch

Pytorch implementation of FlowNet by Dosovitskiy et al.

Language:PythonLicense:MITStargazers:836Issues:20Issues:106

kinetics_i3d_pytorch

Inflated i3d network with inception backbone, weights transfered from tensorflow

Language:PythonLicense:MITStargazers:520Issues:14Issues:27

Beta-VAE

Pytorch implementation of β-VAE

Language:PythonLicense:MITStargazers:508Issues:8Issues:19

BSN-boundary-sensitive-network

Codes of our paper: "BSN: Boundary Sensitive Network for Temporal Action Proposal Generation"

GAN-Tutorial

Simple Implementation of many GAN models with PyTorch.

Language:Jupyter NotebookStargazers:379Issues:4Issues:3

ava-dataset

The AVA dataset densely annotates 80 atomic visual actions in 351k movie clips with actions localized in space and time, resulting in 1.65M action labels with multiple labels per human occurring frequently.

R-C3D

code for R-C3D

Language:Jupyter NotebookLicense:MITStargazers:253Issues:21Issues:59

DDPAE-video-prediction

Learning to Decompose and Disentangle Representations for Video Prediction, NIPS 2018

Language:PythonLicense:MITStargazers:135Issues:6Issues:4

lmdis-rep

"Unsupervised Discovery of Object Landmarks as Structural Representations" Project page: http://www.ytzhang.net/projects/lmdis-rep/

Language:PythonLicense:Apache-2.0Stargazers:135Issues:8Issues:5
Language:C++License:NOASSERTIONStargazers:102Issues:17Issues:8

i3d-non-local-pytorch

pytorch for i3d_nonlocal

DecoupleLearning

Implementation codes of the decouple learning framework

epic-kitchens-55-starter-kit-action-recognition

:seedling: Starter kit for working with the EPIC-KITCHENS-55 dataset for action recognition or anticipation

Language:Jupyter NotebookLicense:MITStargazers:43Issues:6Issues:15

factors-variation

Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprechmann and LeCun

SRN-Deblur

Repository for Scale-recurrent Network for Deep Image Deblurring https://arxiv.org/abs/1802.01770

License:MITStargazers:1Issues:2Issues:0