SnowYJ

SnowYJ's Stars

• neuro-symbolic-ai/LangSpace

  Language:Python4

• neuro-symbolic-ai/LangVAE

  Language:Python5

• KihoPark/linear_rep_geometry

  Language:Jupyter Notebook8210

• XiaoxinHe/Awesome-Graph-LLM

  A collection of AWESOME things about Graph-Related LLMs.

  1.9k139

• KihoPark/LLM_Categorical_Hierarchical_Representations

  Language:Jupyter Notebook8115

• atong01/conditional-flow-matching

  TorchCFM: a Conditional Flow Matching library

  Language:Python1.4k118

• jmtomczak/intro_dgm

  "Deep Generative Modeling": Introductory Examples

  Language:Jupyter Notebook1.1k178

• maitrix-org/llm-reasoners

  A library for advanced large language model reasoning

  Language:Python1.7k147

• guangyliu/LatentOps

  Source code of LatentOps

  Language:Python779

• h3lio5/linguistic-style-transfer-pytorch

  Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch

  Language:Python6821

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python8.7k1.1k

• shentianxiao/text-autoencoders

  Language:Python20643

• emilemathieu/pvae

  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".

  Language:Python12343

• clementchadebec/benchmark_VAE

  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

  Language:Python1.9k170

• XiaoyuBIE1994/DVAE

  (FTML 2021) Official implementation of Dynamical VAEs

  Language:Python21838

• yatindandi/Disentangled-Sequential-Autoencoder

  Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).

  Language:Python10424

• microsoft/constrained-graph-variational-autoencoder

  Sample code for Constrained Graph Variational Autoencoders

  Language:Python23356

• vislearn/FrEIA

  Framework for Easily Invertible Architectures

  Language:Python788114

• NELSONZHAO/zhihu

  This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

  Language:Jupyter Notebook3.5k2.1k

• QData/LaMP

  ECML 2019: Graph Neural Networks for Multi-Label Classification

  Language:Python9018

• sebastianruder/NLP-progress

  Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

  Language:Python22.8k3.6k

• SheffieldGolf/task-1

  System for Task 1 of the CheckThat! Lab @ CLEF 2020, the prediction of whether tweets are 'check-worthy'.

  Language:Jupyter Notebook2

• SheffieldGolf/task-2

  System for Task 2 of the CheckThat! Lab @ CLEF 2020, construction of a claim retrieval system.

  Language:Jupyter Notebook1