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18.065_lecture_notes

lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"

a-bit-more-bayesian

Source code of a ICML2021 paper, A Bit More Bayesian: Domain-Invariant Learning with Uncertainty

adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

awesome-hypergraph-network

A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.

awesome-source-free-test-time-adaptation

A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

ccsa

"Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)

ccsa_pytorch

PyTorch implementation of CCSA("Unified Deep Supervised Domain Adaptation and Generalization")

clip4caption

The first unofficial implementation of CLIP4Caption: CLIP for Video Caption (ACMMM 2021)

computer_vision

Projects completed for CS143: Introduction to Computer Vision

cpce-3d

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

cvpr2019

cvpr2019／cvpr2018/cvpr2019 papers，极市团队整理

cycle-confusion

Code and models for ICCV2021 paper "Robust Object Detection via Instance-Level Temporal Cycle Confusion".

dcgan-pytorch

PyTorch Implementation of DCGAN trained on the CelebA dataset.

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

devicehive-audio-analysis

domainbed

DomainBed is a suite to test domain generalization algorithms

dpkl

Code accompanying the UAI 2021 paper 'Deep Kernels with Probabilistic Embeddings for Small-Data Learning'

dsu

Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference on Learning Representations (ICLR) 2022.

eegdnet

This is the code for EEGDnet: Fusing non-local and local self-similarity for EEG signal denoising with transformer

faster-r-cnn-with-model-pretrained-on-visual-genome

Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101

gcdn

Deep Graph-Convolutional Image Denoising

gcn-mif_demo

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

ivhc-estimator

Fast image noise estimation (Estimation of Gaussian, signal-dependent, and processed noise in Image and Video Signals)

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

kecheng.github.io

lddg

The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization' NIPS 2020.

masf

Domain Generalization via Model-Agnostic Learning of Semantic Features