LouisZango

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Chinese-Word-Vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

BELLE

BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

causalml

Uplift modeling and causal inference with machine learning algorithms

nlp-competitions-list-review

复盘所有NLP比赛的TOP方案，只关注NLP比赛，持续更新中！

adapters

A Unified Library for Parameter-Efficient and Modular Transfer Learning

Chinese-ELECTRA

Pre-trained Chinese ELECTRA（中文ELECTRA预训练模型）

EDA_NLP_for_Chinese

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。

R-Drop

Bert-Multi-Label-Text-Classification

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

Multi-Task-Learning-PyTorch

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

causalML

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

DeepTables

DeepTables: Deep-learning Toolkit for Tabular data

PromptCLUE

PromptCLUE, 全中文任务支持零样本学习模型

Word-Embedding

Word2vec, Fasttext, Glove, Elmo, Bert, Flair pre-train Word Embedding

deep-symbolic-optimization

A deep learning framework for symbolic optimization.

uie_pytorch

PaddleNLP UIE模型的PyTorch版实现

RoFormer_pytorch

RoFormer V1 & V2 pytorch

RecDebiasing

This repository collects debiasing methods for recommendation

NeZha_Chinese_PyTorch

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

rank4_NLP_textclassification

阿里云天池零基础入门NLP比赛_rank4选手比赛总结: https://tianchi.aliyun.com/competition/entrance/531810/introduction

pytorch-examples

train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc

SupCon-Framework

Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks

CATENets

Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.

rrl

The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"

R-Drop

RDrop 的 torch版

cfrnet-reproduction

Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causal inference.

PromptCLUE

PromptCLUE, 全中文任务支持零样本学习模型

uie_pytorch

PaddleNLP UIE模型的PyTorch版实现