kaidic

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Stanford University

Stanford, CA

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

Kaidi Cao's starred repositories

PlotNeuralNet

Latex code for making neural networks diagrams

Language:TeXMIT21532 227 117

pytorch-cifar

95.47% on CIFAR10 with PyTorch

Language:PythonMIT5845 84 135

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Language:PythonMIT5341 127 214

Awesome-Incremental-Learning

Awesome Incremental Learning

MinkowskiEngine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Language:PythonNOASSERTION2363 47 541

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Language:PythonMIT2221 31 35

temporal-shift-module

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

Language:PythonMIT2033 42 219

CCNet

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

Language:PythonMIT1407 29 115

semseg

Semantic Segmentation in Pytorch

Language:PythonMIT1317 21 84

OpenLongTailRecognition-OLTR

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

Language:PythonBSD-3-Clause833 30 71

DIM

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

Language:PythonBSD-3-Clause797 20 52

TimeCycle

Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)

Language:Python717 23 24

inat_comp

iNaturalist competition details

Language:PythonMIT712 22 27

robust_loss_pytorch

A pytorch port of google-research/google-research/robust_loss/

Language:PythonApache-2.0650 13 32

class-balanced-loss

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

Language:PythonMIT597 20 22

fair_self_supervision_benchmark

Scaling and Benchmarking Self-Supervised Visual Representation Learning

Language:PythonNOASSERTION587 23 13

PyVideoResearch

A repository of common methods, datasets, and tasks for video research

Language:PythonGPL-3.0531 24 25

augmented-neural-odes

Pytorch implementation of Augmented Neural ODEs :sunflower:

Language:Jupyter NotebookMIT524 19 16

realistic-ssl-evaluation

Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

Language:PythonApache-2.0457 43 20

amdim-public

Public repo for Augmented Multiscale Deep InfoMax representation learning

Language:PythonMIT396 11 16

multi-armed-bandit

Play with the solutions to the multi-armed-bandit problem.

Language:Python382 13 2

SMPyBandits

🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on

Language:Jupyter NotebookMIT379 20 210

learning-to-reweight-examples

PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning

Language:Jupyter Notebook351 12 21

seamseg

Seamless Scene Segmentation

Language:PythonBSD-3-Clause287 18 32

pytorch-resnet3d

I3D Nonlocal ResNets in Pytorch

Language:Python244 5 20

ActionVLAD

ActionVLAD for video action classification (CVPR 2017)

Language:PythonNOASSERTION217 11 38

CVPR19_Incremental_Learning

Learning a Unified Classifier Incrementally via Rebalancing

Language:Python180 5 12

Privacy-AdversarialLearning

[ECCV 2018] Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study

Language:Jupyter Notebook38 5 3

LogisticCircuit

Logistic Circuits

Language:Python35 9 5

Shallow-Deep-Networks

Source Code for ICML 2019 Paper "Shallow-Deep Networks: Understanding and Mitigating Network Overthinking"

Language:PythonMIT35 1 1