2020213484's Stars
xxgege/StableNet
Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".
KunKuang/Decorrelated-Weighted-Regression
Stable Prediction with Model Misspecification and Agnostic Distribution Shift
NotAbleToCode/ShorAlgorithmSimulation
使用Python3对Shor算法进行仿真。
junkunyuan/Awesome-Domain-Generalization
Awesome things about domain generalization, including papers, code, etc.
Cranial-XIX/FAMO
Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)
tomtang110/multi-task_loss_optimizer
Implement the Pareto Optimizer and pcgrad to make a self-adaptive loss for multi-task
median-research-group/LibMTL
A PyTorch Library for Multi-Task Learning
2020213484/GraphDA
Unsupervised Domain Adaptation on Graphs
3480430977/ACDNE
rynewu224/GraphDA
Unsupervised Domain Adaptation on Graphs
Skyorca/Awesome-Graph-Domain-Adaptation-Papers
Published papers focusing on graph domain adaptation
Liwu-di/CrossTReS
Repo for CrossTReS: Cross-city Transfer Learning for Traffic Prediction via Source Region Selection
tensorboy/PIDOptimizer
Code for this CVPR 2018 paper: "A PID Controller Approach for Stochastic Optimization of Deep Networks", Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang.
istec-iuc/AI-IDS-IoT
AI IDS Application for IoT Dataset
gspathoulas/ghost-iot-dataset
Smart-home network traffic ioT dataset
SmartSecLab/ENViSEC
AI-enabled Cybersecurity for Future Smart Environments
OI-wiki/i18n
sahagobinda/GPM
Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"
yuanli2333/CKA-Centered-Kernel-Alignment
Reproduce CKA: Similarity of Neural Network Representations Revisited
XinJingHao/DRL-Pytorch
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
ShiArthur03/ShiArthur03
UT-Austin-Data-Science-Group/Mini-batch-OT
A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, color transfer, and gradient flow.
zhyliu00/MTPB
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting
jwwthu/GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
roboticcam/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
WeiHuang05/Awesome-Feature-Learning-in-Deep-Learning-Thoery
Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.
ShiYunyi/Meta-Weight-Net_Code-Optimization
A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
xjtushujun/meta-weight-net
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
AlexanderFabisch/gmr
Gaussian Mixture Regression
DeMoriarty/fast_pytorch_kmeans
This is a pytorch implementation of k-means clustering algorithm