wangxu's repositories

PromptPapers

Must-read papers on prompt-based tuning for pre-trained language models.

ColossalAI

Making large AI models cheaper, faster and more accessible

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PPOCoder

Code for the TMLR 2023 paper "PPOCoder: Execution-based Code Generation using Deep Reinforcement Learning"

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ALBERT_NER_KERAS

利用ALBERT和BI-LSTM,在Keras中实现序列标注算法。

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attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

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awesome-bert

bert nlp papers, applications and github resources, including the newst xlnet , BERT、XLNet 相关论文和 github 项目

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awesome-vision-language-pretraining-papers

Recent Advances in Vision and Language PreTrained Models (VL-PTMs)

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Chinese-NLP-Corpus

Collections of Chinese NLP corpus

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chineseGLUE

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

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ChineseNLPCorpus-1

中文自然语言处理数据集,平时做做实验的材料。欢迎补充提交合并。

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CodeXGLUE

CodeXGLUE

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EasyInstruct

An Easy-to-use Instruction Processing Framework for LLMs.

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fairseq

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

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knowledge-driven-dialogue

baseline system of knowledge driven dialogue competition

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pointer_summarizer

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

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python-bpe

Byte Pair Encoding for Python!

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pytorch-goodies

PyTorch Boilerplate For Research

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Question-Difficulty-Prediction

About Question Difficulty Prediction Based on Neural Network.

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RKT

The code corresponding to paper RKT : Relation-Aware Self-Attention for Knowledge Tracing

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RSPapers

Must-read papers on Recommender System.

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SimCSE

EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings

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snips-nlu

Snips Python library to extract meaning from text

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transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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trl

Train transformer language models with reinforcement learning.

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