A very simple framework for state-of-the-art Natural Language Processing (NLP)
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Data augmentation for NLP
State of the Art Natural Language Processing
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
The most popular spellchecking library.
A high-level machine learning and deep learning library for the PHP language.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Synthetic data curation for post-training and structured data extraction
Thai natural language processing in Python
awesome grounding: A curated list of research papers in visual grounding
Pretrained model hub for Keras 3.
An R package for the Quantitative Analysis of Textual Data
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战,数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记
A foundational library for Semantic Hypergraphs
[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety, fairness, robustness, privacy and ethics. Python/CLI toolkit for local models, compatible APIs and AI agent orchestration.
Curated list of open-access/open-source/off-the-shelf resources and tools developed with a particular focus on German
Complete TensorFlow NLP Guide 2026: BERT, GPT and LLM Downstream Tasks Explained
Vela: User Behavior as Supervision Sparks LLM Intelligence — official paper, task templates, and prompts from AllSpark at Xiaohongshu.
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
The Python Code Tutorials
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
The most accurate natural language detection library for Rust, suitable for short text and mixed-language text
A curated list of resources for Japanese natural language processing (NLP): Python libraries, LLMs, dictionaries, corpora, and datasets. Includes Claude Code and Codex skills to search resources.
Active Learning for Text Classification in Python
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy