zgzhikaru's Stars
hendrycks/robustness
Corruption and Perturbation Robustness (ICLR 2019)
ENSTA-U2IS-AI/awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
ENSTA-U2IS-AI/torch-uncertainty
Open-source framework for uncertainty and deep learning models in PyTorch :seedling:
tfzhou/ContrastiveSeg
ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
state-spaces/s4
Structured state space sequence models
meta-llama/llama-models
Utilities intended for use with Llama models.
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
open-mmlab/mmpretrain
OpenMMLab Pre-training Toolbox and Benchmark
google-research/vision_transformer
junfu1115/DANet
Dual Attention Network for Scene Segmentation (CVPR2019)
sithu31296/semantic-segmentation
SOTA Semantic Segmentation Models in PyTorch
open-mmlab/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
yassouali/pytorch-segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
whai362/PVT
Official implementation of PVT series
HiLab-git/SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
LirongWu/awesome-graph-self-supervised-learning
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
HKUDS/SSLRec
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
open-mmlab/mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
Coder-Yu/SELFRec
An open-source framework for self-supervised recommender systems.
Coder-Yu/QRec
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
RUCAIBox/RecBole
A unified, comprehensive and efficient recommendation library
wubinzzu/NeuRec
Next RecSys Library
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
massquantity/LibRecommender
Versatile End-to-End Recommender System
THUwangcy/ReChorus
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
easezyc/deep-transfer-learning
A collection of implementations of deep domain adaptation algorithms
KaiyangZhou/Dassl.pytorch
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Trusted-AI/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
megvii-research/mdistiller
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf
microsoft/Semi-supervised-learning
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)