jozerozero

jozerozero's Stars

• PKU-YuanGroup/MagicTime

  MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators

  Language:Python1.3k125

• jozerozero/Subspace_Identification

  Language:Python21

• DMIRLAB-Group/SCI

  Language:Python4

• DMIRLAB-Group/SASA_CNN_Extractor

  SASA with CNN featrue extractor

  Language:Python1

• DMIRLAB-Group/DMIR_REC

  1

• rynewu224/GraphDA

  Unsupervised Domain Adaptation on Graphs

  Language:Python132

• DMIRLAB-Group/SASA-pytorch

  Language:Python184

• polixir/emei

  Emei is a toolkit for developing causal reinforcement learning algorithms.

  Language:Python91

• polixir/causal-mbrl

  Toolkit of Causal Model-based Reinforcement Learning.

  Language:Python321

• DMIRLAB-Group/GCA

  Language:Python75

• sikouhjw/gdutthesis

  广东工业大学 LaTeX 论文模板

  Language:TeX21937

• DMIRLAB-Group/DSAN

  Language:Python192

• JiamingMai/clickhouse-ast-parser

  AST parser and visitor for ClickHouse SQL

  Language:Java8720

• DMIRLAB-Group/REST

  Language:Python41

• DMIRLAB-Group/TEA

  Language:Python51

• jozerozero/tacotron_gmm

  Language:Python62

• DMIRLAB-Group/SADGA

  The PyTorch implementation of paper SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. (NeurIPS 2021)

  Language:Python339

• jakobrunge/tigramite

  Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

  Language:Jupyter Notebook1.3k273

• DMIRLAB-Group/SASA

  Language:Python367

• DMIRLAB-Group/SSD

  Language:Roff4

• ryanrossi/role2vec

  A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

  31

• tango4j/tensorflow-vs-pytorch

  Guide for both TensorFlow and PyTorch in comparative way

  Language:Jupyter Notebook10918

• DMIRLAB-Group/DSR

  The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)

  Language:Python197

• xptree/DeepInf

  DeepInf: Social Influence Prediction with Deep Learning

  Language:Python29286

• DMIRLAB-Group/SELF

  Provides the SELF criteria to learn causal structure. Please cite "Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao. SELF: Structural Equational Embedded Likelihood Framework for Causal Discovery. AAAI,2018."

  Language:R163

• A-bone1/J2WSA

  Code for the paper "Deep Joint Two-stream Wasserstein Auto-Encoder and Selective Attention Alignment for Unsupervised Domain Adaptation" (NEURAL COMPUTING & APPLICATIONS)

  Language:Python111

• tensorflow/lingvo

  Lingvo

  Language:Python2.8k444

• paruby/FactorVAE

  A implementation of FactorVAE from the paper Disentangling by Factorising, Kim & Mnih 2018 (https://arxiv.org/pdf/1802.05983.pdf )

  Language:Python166

• jojonki/arXivNotes

  IssuesにNLP（自然言語処理）に関連するの論文を読んだまとめを書いています．雑です．🚧 マークは編集中の論文です（事実上放置のものも多いです）．🍡 マークは概要のみ書いてます（早く見れる的な意味で団子）．

  1948

• maple-research-lab/CapProNet_tf

  Capsule Projection Networks (CapProNet) in pytorch, NeurIPS 2018

  Language:Python193