Python - 100天从新手到大师

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

Tensors and Dynamic neural networks in Python with strong GPU acceleration

中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…

TensorFlow code and pre-trained models for BERT

🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

PyTorch Tutorial for Deep Learning Researchers

⚡ A Fast, Extensible Progress Bar for Python and CLI

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

SoftVC VITS Singing Voice Conversion

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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.

提供多款 Shadowrocket 规则，带广告过滤功能。用于 iOS 未越狱设备选择性地自动翻墙。

Machine learning, in numpy

微信机器人 / 可能是最优雅的微信个人号 API ✨✨

A very simple framework for state-of-the-art Natural Language Processing (NLP)

NLTK Source

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…

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

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio…

Deep universal probabilistic programming with Python and PyTorch

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

Setup and customize deep learning environment in seconds.

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。

Models, data loaders and abstractions for language processing, powered by PyTorch

State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

The Natural Language Decathlon: A Multitask Challenge for NLP