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attention-is-all-you-need-pytorch

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

awesome-speech-translation

awesome_llms_interview_notes

LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bert-nmt

bert-sda

A PyTorch implementation of "Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation"

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

chatpixiu

ChatPiXiu: Docs of OpenLLMAI. Survey, reproduction and domain/task adaptation of open source chatgpt alternatives/implementations. PiXiu-貔貅 means fortune.

chinese_nlp_dataset

命名实体识别（NER），分词（CWS），实体分类（Entity Typing），关系抽取（Relation Extraction）等任务数据集整理

chinesenlpcorpus

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。

cplusplusthings

C++那些事

cscd-ime

code and data for "CSCD-IME: Correcting Spelling Errors Generated by Pinyin IME"

dali

Domain Adaptation of Neural Machine Translation by Lexicon Induction

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

delight

DeLighT: Very Deep and Light-Weight Transformers

document-transformer

Improving the Transformer translation model with document-level context

fairseq

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

fareandbalancedcpp

算法课作业，2009-ACM/ICPC World Final Problem E

git-study

a doce of git study

han-pl

A Pytorch implementation for "Hierarchical Attention Network with Pairwise Loss for Chinese Zero Pronoun Resolution“ (AAAI 2020).

hiersumm

Code for paper Hierarchical Transformers for Multi-Document Summarization in ACL2019

infersent

InferSent sentence embeddings

inspect_word2vec

Python code for checking out Google's pre-trained, 3M word Word2Vec model

lab-zp-joint

lass

leetcode_python

lightnlp

基于Pytorch和torchtext的自然语言处理深度学习框架，包含序列标注、文本分类、句子关系、文本生成、结构分析、五大功能模块，已实现了命名实体识别、中文分词、词性标注、语义角色标注、情感分析、关系抽取、语言模型、文本相似度、文本蕴含、依存句法分析、词向量训练、聊天机器人、机器翻译、文本摘要等功能。框架功能丰富，开箱可用，极易上手！基本都是学习他人实现然后自己修改融合到框架中，没有细致调参，且有不少Bug～

linux-cmd

llama-factory

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

lstm-crf-pytorch-faster

A more than 1000X faster paralleled LSTM-CRF implementation modified from the slower version in the Pytorch official tutorial (URL:https://pytorch.org/tutorials/beginner/nlp/advanced_tutorial.html).