Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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、…
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
StyleGAN - Official TensorFlow Implementation
PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
《计算机网络－自顶向下方法(原书第6版)》编程作业，Wireshark实验文档的翻译和解答。
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Fork of https://code.google.com/archive/p/ipv6-hosts/, focusing on automation
HanLP作者的新书《自然语言处理入门》详细笔记！业界良心之作，书中不是枯燥无味的公式罗列，而是用白话阐述的通俗易懂的算法模型。从基本概念出发，逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。
Marshalling / communication library for drones.
Improve your Baduk skills by training with KataGo!
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Strategies for Pre-training Graph Neural Networks
SchNetPack - Deep Neural Networks for Atomistic Systems
Neural Graph Collaborative Filtering, SIGIR2019
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
Python package for graph neural networks in chemistry and biology
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch