wenhuchen

wenhuchen's Stars

• facebookresearch/Detectron

  FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

  Language:Python26.3k9409265.5k

• openai/gpt-2

  Code for the paper "Language Models are Unsupervised Multitask Learners"

  Language:Python22.8k6322715.6k

• jwyang/faster-rcnn.pytorch

  A faster pytorch implementation of faster r-cnn

  Language:Python7.7k918392.3k

• Luolc/AdaBound

  An optimizer that trains as fast as Adam and as good as SGD.

  Language:Python2.9k7125332

• huggingface/pytorch-openai-transformer-lm

  🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

  Language:Python1.5k9239284

• atulkum/pointer_summarizer

  pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

  Language:Python9071661240

• benedekrozemberczki/GraphWaveletNeuralNetwork

  A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

  Language:Python5851612117

• jnhwkim/ban-vqa

  Bilinear attention networks for visual question answering

  Language:Python5451445100

• avian2/unidecode

  ASCII transliterations of Unicode text - GitHub mirror

  Language:Python538125363

• rowanz/neural-motifs

  Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

  Language:Python52916107117

• MILVLG/mcan-vqa

  Deep Modular Co-Attention Networks for Visual Question Answering

  Language:Python44863888

• IBM/Graph2Seq

  Graph2Seq is a simple code for building a graph-encoder and sequence-decoder for NLP and other AI/ML/DL tasks.

  Language:Python239151061

• NVIDIA/ContrastiveLosses4VRD

  Implementation for the CVPR2019 paper "Graphical Contrastive Losses for Scene Graph Generation"

  Language:Jupyter Notebook19943041

• snakeztc/NeuralDialog-LAED

  PyTorch implementation for Interpretable Dialog Generation ACL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

  Language:OpenEdge ABL19810640

• czyssrs/Few-Shot-NLG

  Code and Data for ACL 2020 paper "Few-Shot NLG with Pre-Trained Language Model"

  Language:Python1899322

• jxhe/vae-lagging-encoder

  PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)

  Language:Python18341134

• ratishsp/data2text-plan-py

  Code for AAAI 2019 paper on Data-to-Text Generation with Content Selection and Planning

  Language:Python16364146

• harvardnlp/data2text

  Language:Lua157181948

• tyliupku/wiki2bio

  Code for AAAI2018 paper "Table-to-text Generation by Structure-aware Seq2seq Learning"

  Language:Python15341946

• wenhuchen/HDSA-Dialog

  Code and Data for ACL 2019 "Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention"

  Language:Python13791139

• taoyds/syntaxSQL

  SyntaxSQLNet: Syntax Tree Networks for Complex and Cross Domain Text-to-SQL Task

  Language:Python13391240

• jihunchoi/unsupervised-treelstm

  Language:Python12161423

• Cloud-CV/EvalAI-Starters

  How to create a challenge on EvalAI?

  Language:Python75920160

• snakeztc/SimDial

  Synthetic task-oriented dialog generator with controllable complexity. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

  Language:Python513217

• bohanli/vae-pretraining-encoder

  PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)

  Language:Python47417

• andy194673/nlg-sclstm-multiwoz

  Language:Python463716

• ZhitingHu/text_content_manipulation

  Text Content Manipulation

  45529

• wenhuchen/Variational-Vocabulary-Selection

  Code for NAACL19 Paper "How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection"

  Language:Python42324

• chitwansaharia/HACAModel

  Implementation of "Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning" (https://arxiv.org/abs/1804.05448)

  Language:Python26535

• czyssrs/GloREPlus

  Data and code for ACL 2019 paper "Global Textual Relation Embedding for Relational Understanding"

  Language:Python21510