Yu-Fangxu

Yu-Fangxu's Stars

• xinntao/Real-ESRGAN

  Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

  Language:Python29.1k2326903.6k

• mli/paper-reading

  深度学习经典、新论文逐段精读

  27.7k73402.5k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.7k2543.6k3.7k

• 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

  Language:Jupyter Notebook8.5k388311.7k

• zhoubolei/introRL

  Intro to Reinforcement Learning (强化学习纲要）

  3.3k928487

• AstraZeneca/awesome-explainable-graph-reasoning

  A collection of research papers and software related to explainability in graph machine learning.

  2k556130

• divelab/DIG

  A library for graph deep learning research

  Language:Python1.9k31211284

• PyGCL/PyGCL

  PyGCL: A PyTorch Library for Graph Contrastive Learning

  Language:Python90884796

• fungtion/DANN

  pytorch implementation of Domain-Adversarial Training of Neural Networks

  Language:Python8591019155

• songyingxin/Bert-TextClassification

  Implemention some Baseline Model upon Bert for Text Classification

  Language:Python6851329149

• js05212/BayesianDeepLearning-Survey

  Bayesian Deep Learning: A Survey

  50629062

• ucla-rlcourse/DeepRL-Tutorials

  Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

  Language:Jupyter Notebook2544091

• sgrvinod/a-PyTorch-Tutorial-to-Text-Classification

  Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

  Language:Python24781356

• BoChenGroup/PyDPM

  A Python Library for Deep Probabilistic Models

  Language:Python175102535

• Wuyxin/DIR-GNN

  Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)

  Language:Python12251516

• Wuyxin/ReFine

  Official code of "Towards Multi-Grained Explainability for Graph Neural Networks" (NeurIPS 2021) + Pytorch Implementation of recent attribution methods for GNNs

  Language:Jupyter Notebook674178

• ludwigwinkler/pytorch_MCMC

  Lightweight MCMC sampling for PyTorch Models aka My Corona Project

  Language:Python44242

• danielzuegner/robust-gcn

  Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

  Language:Jupyter Notebook422112

• GeorgeLuImmortal/Hierarchical-BERT-Model-with-Limited-Labelled-Data

  Language:Python401212

• makezur/VIB_pytorch

  an implementation of Deep Variational Informational Bottleneck in pytorch (https://arxiv.org/pdf/1612.00410.pdf)

  Language:Jupyter Notebook33203

• xiangwang1223/reinforced_causal_explainer

  Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022

  Language:Python32214

• crazysal/VariationalRNN

  A Recurrent Latent Variable Model for Sequential Data

  Language:Jupyter Notebook245112

• yjxiao/ProdLDA

  Language:Python15300

• Yu-Fangxu/DARec

  Pytorch implementation of DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns

  Language:Python12112

• BoChenGroup/SawETM

  The demo for "Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network" in ICML 2021

  Language:Python10314

• RayyanRiaz/EVGAE

  Epitomic Variational Graph Autoencoder

  Language:Python7201

• Yu-Fangxu/Machine-Learning-XDU

  Machine Learning Course in Department of Computer Science and Technology, Xidian University

  Language:Jupyter Notebook5100

• yoyo-yun/BilinearReview_journal

  Personalized Sentiment Classification of Customer Reviews via an Interactive Attributes Attention Model

  Language:Python4200

• Yu-Fangxu/Neural-Topic-Model

  Two common Neural Topic Model implemented by Pytorch

  Language:Python3101

• Murray04/Murray04.github.io

  Language:HTML2100