jianliu-ml

jianliu-ml's Stars

• Eric-Wallace/universal-triggers

  Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)

  Language:Python29256

• THU-KEG/Knowledge_Graph_Reasoning_Papers

  Must-read papers on knowledge graph reasoning

  43460

• DeepGraphLearning/RNNLogic

  Language:C++12426

• DeepGraphLearning/pLogicNet

  Language:Python14337

• xinmei9322/semicrowd

  Code for Semi-crowdsourced Clustering with Deep Generative Models

  Language:Python124

• geoopt/geoopt

  Riemannian Adaptive Optimization Methods with pytorch optim

  Language:Python84878

• bcol23/HyperIM

  PyTorch implementation of the paper "Hyperbolic Interaction Model For Hierarchical Multi-Label Classification"

  Language:Python4812

• john-hewitt/structural-probes

  Codebase for testing whether hidden states of neural networks encode discrete structures.

  Language:Python37977

• FranxYao/Deep-Generative-Models-for-Natural-Language-Processing

  DGMs for NLP. A roadmap.

  39233

• RuifMaxx/Multidimensional-time-series-with-transformer

  transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测

  Language:Jupyter Notebook22039

• Thinklab-SJTU/awesome-ml4co

  Awesome machine learning for combinatorial optimization papers.

  Language:Python1.7k201

• ngl567/Temporal-and-Evolving-KG

  63

• xinychen/transdim

  Machine learning for transportation data imputation and prediction.

  Language:Jupyter Notebook1.2k301

• jingw2/demand_forecast

  Language:Python452123

• sjoerdvansteenkiste/Neural-EM

  Code for the "Neural Expectation Maximization" paper.

  Language:Python12638

• styfeng/DataAug4NLP

  Collection of papers and resources for data augmentation for NLP.

  82978

• thu-coai/NLG_book

  书籍《现代自然语言生成》介绍

  21719

• spyflying/CMPC-Refseg

  Code for Referring Image Segmentation via Cross-Modal Progressive Comprehension, CVPR2020.

  Language:Python5917

• seanie12/Info-HCVAE

  [ACL 2020] Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs

  Language:Python17230

• Sophia-11/Machine-Learning-Notes

  周志华《机器学习》手推笔记

  3.6k742

• apoorvumang/CronKGQA

  ACL 2021: Question Answering over Temporal Knowledge Graphs

  Language:Jupyter Notebook9319

• malllabiisc/EmbedKGQA

  ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

  Language:Python41795

• kkteru/grail

  Inductive relation prediction by subgraph reasoning, ICML'20

  Language:Python22357

• laserwave/topic_models

  implemented : lsa, plsa, lda

  Language:Python9846

• Kirito0918/cvae-dialog

  Language:Python174

• luyaojie/Text2Event

  Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction

  Language:Python21136

• ZihanWangKi/CrossWeigh

  CrossWeigh: Training Named Entity Tagger from Imperfect Annotations

  Language:Python17422

• XiaoyuBIE1994/DVAE

  Official implementation of Dynamical VAEs

  Language:Python21339

• wengong-jin/iclr19-graph2graph

  Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)

  Language:Python14740

• msurtsukov/neural-ode

  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

  Language:Jupyter Notebook682120