geekxiaoz

geekxiaoz's Stars

• mli/paper-reading

  深度学习经典、新论文逐段精读

  26.5k2.4k

• qiaoyu-tan/SINE

  Language:Python3111

• shenweichen/DeepMatch

  A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

  Language:Python2.2k530

• trueto/transformers_sklearn

  A Fitting, Scoring and Predicting Toolkit for Transformer Series Models.

  Language:Python504

• ml4bio/e2efold

  pytorch implementation for "RNA Secondary Structure Prediction By Learning Unrolled Algorithms"

  Language:Python10717

• songlab-cal/tape

  Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

  Language:Python652129

• songlab-cal/tape-neurips2019

  Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)

  Language:Python11834

• tbepler/protein-sequence-embedding-iclr2019

  Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

  Language:Python25375

• THUNLP-MT/TG-Reading-List

  A text generation reading list maintained by Tsinghua Natural Language Processing Group.

  Language:TeX44244

• HareeshBahuleyan/tf-var-attention

  Tensorflow Implementation of Variational Attention for Sequence to Sequence Models (COLING 2018)

  Language:Python6917

• zmxrice/883Project

  Repository for machine learning course project.

  Language:Python13

• himahuja/StreamMiner

  Computational Fact-Checking Algorithm on Knowledge Graphs

  Language:Python133

• enriozuni/algorithms

  Algorithms for Fact Checking systems

  Language:Python1

• adityaranjan65/LinkPrediction

  Language:Jupyter Notebook2

• d3/d3-force

  Force-directed graph layout using velocity Verlet integration.

  Language:JavaScript1.8k374

• ShusenTang/Dive-into-DL-PyTorch

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

  Language:Jupyter Notebook18.2k5.4k

• imsheridan/CogDL-TensorFlow

  CogDL-TensorFlow: The TensorFlow Implementation of CogDL. With Support from Professor Jie Tang.

  Language:Python8119

• THUDM/CogDL

  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

  Language:Python1.7k312

• JiaruiFeng/DTINet-with-python

  Realizing DTINet with python

  Language:Python276

• RexYing/gnn-model-explainer

  gnn explainer

  Language:Python860173

• bwilder0/clusternet

  Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"

  Language:Python8622

• thunlp/NRLPapers

  Must-read papers on network representation learning (NRL) / network embedding (NE)

  Language:TeX2.5k645

• elkwaku/link-prediction

  Implementations of some link prediction algorithms and visualization and accuracy test of implemented algorithms using the AUC and Precision indexes.

  Language:Jupyter Notebook3

• HKUST-KnowComp/MNE

  Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"

  Language:C7525

• luoyunan/DTINet

  A Network Integration Approach for Drug-Target Interaction Prediction

  Language:MATLAB17160

• FangpingWan/NeoDTI

  NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions

  Language:Python7333

• benedekrozemberczki/awesome-graph-classification

  A collection of important graph embedding, classification and representation learning papers with implementations.

  Language:Python4.7k742

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.7k773

• THU-KEG/Knowledge_Graph_Reasoning_Papers

  Must-read papers on knowledge graph reasoning

  43260

• DeepGraphLearning/LiteratureDL4Graph

  A comprehensive collection of recent papers on graph deep learning

  3.1k563