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Pengju Feng's Projects

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algorithms icon algorithms

Minimal examples of data structures and algorithms in Python

allennlp icon allennlp

An open-source NLP research library, built on PyTorch.

antispider icon antispider

书籍《Python3 反爬虫原理与绕过实战》配套代码

bert icon bert

TensorFlow code and pre-trained models for BERT

chatgpt-next-web icon chatgpt-next-web

A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。

conda icon conda

Specifying a conda environment with `environment.yml`

deeplearning-500-questions icon 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

dlrm icon dlrm

An implementation of a deep learning recommendation model (DLRM)

fasttext icon fasttext

Library for fast text representation and classification.

gpt_academic icon gpt_academic

为GPT/GLM提供图形交互界面,特别优化论文阅读润色体验,模块化设计支持自定义快捷按钮&函数插件,支持代码块表格显示,Tex公式双显示,新增Python和C++项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古等。

hanlp icon hanlp

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁

knowledge-graph icon knowledge-graph

深度学习与自然语言处理、知识图谱、对话系统。包括知识获取、知识库构建、知识库应用三大技术研究与应用。

lavis icon lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

linux-command icon linux-command

Linux命令大全搜索工具,内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux

llama icon llama

Inference code for LLaMA models

mecab-python3 icon mecab-python3

:snake: mecab-python. you can find original version here:http://taku910.github.io/mecab/

models icon models

Models and examples built with TensorFlow

nlp-progress icon nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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