Sanyuan-Chen

Sanyuan-Chen's Stars

• Sanyuan-Chen/RecAdam

  Code for the RecAdam paper: Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting.

  Language:Python11415

• allenai/tpu_pretrain

  LM Pretraining with PyTorch/TPU

  Language:Python13112

• pytorch/xla

  Enabling PyTorch on XLA Devices (e.g. Google TPU)

  Language:C++2.5k469

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  15.9k3k

• thunlp/KRLPapers

  Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

  Language:TeX1.5k246

• thunlp/RCPapers

  Must-read papers on Machine Reading Comprehension

  893172

• thunlp/NREPapers

  Must-read papers on neural relation extraction (NRE)

  Language:TeX1k152

• thunlp/NRLPapers

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

  Language:TeX2.5k645

• thunlp/TAADpapers

  Must-read Papers on Textual Adversarial Attack and Defense

  Language:Python1.5k194

• thunlp/PLMpapers

  Must-read Papers on pre-trained language models.

  3.3k437

• THUNLP-MT/TG-Reading-List

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

  Language:TeX44244

• THUNLP-MT/MT-Reading-List

  A machine translation reading list maintained by Tsinghua Natural Language Processing Group

  Language:TeX2.4k449

• TangDH03/MelonDB

  Language:Java1

• guanlinchao/bert-dst

  BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer

  Language:Python10145

• google-research-datasets/dstc8-schema-guided-dialogue

  The Schema-Guided Dialogue Dataset

  Language:Python541123

• szxSpark/hit-master-course-note

  哈工大计算机研究生学位课的课程笔记，包括模式识别、自然语言处理、最优化方法、以及数理统计

  9524

• dstc8-track2/NOESIS-II

  Webpage for the DSTC8 - NOESIS II: Predicting Responses

  Language:Python489

• microsoft/dstc8-meta-dialog

  Baseline implementation for DSTC8 User Response Prediction Challenge

  Language:Python7214

• AaronTengDeChuan/pinkcom

  A well-designed training framework

  Language:Python82

• jimmyxu/chnroutes

  Forked from https://chnroutes.googlecode.com/

  Language:Python956214

• hwdsl2/setup-ipsec-vpn

  Scripts to build your own IPsec VPN server, with IPsec/L2TP, Cisco IPsec and IKEv2

  Language:Shell25k6.3k

• harvardnlp/namedtensor

  Named Tensor implementation for Torch

  Language:Jupyter Notebook44242

• erikamenezes/azureml-sdk-nlp

  Tutorial to get started with NLP projects using Azure Machine Learning SDK

  Language:Jupyter Notebook76

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.2k6.4k

• kimiyoung/transformer-xl

  Language:Python3.6k762

• tensorflow/tensor2tensor

  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  Language:Python15.4k3.5k

• cybertronai/gradient-checkpointing

  Make huge neural nets fit in memory

  Language:Python2.7k270

• thaines/helit

  My machine learning/computer vision library for all of my recent papers, plus algorithms that I just like.

  Language:Python332150

• dmlc/mxnet-memonger

  Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets

  Language:Python30863

• chengyangfu/pytorch-vgg-cifar10

  This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

  Language:Jupyter Notebook345116