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🤗 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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
Streamlit — A faster way to build and share data apps.
Query Engine for AI - The only MCP Server you'll ever need
💫 Industrial-strength Natural Language Processing (NLP) in Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Data validation using Python type hints
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Turn (almost) any Python command line program into a full GUI application with one line
State-of-the-Art Text Embeddings
Mail-in-a-Box helps individuals take back control of their email by defining a one-click, easy-to-deploy SMTP+everything else server: a mail server in a box.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Low-code framework for building custom LLMs, neural networks, and other AI models
An open source multi-tool for exploring and publishing data
A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
abusing github commit history for the lulz
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
Natural Language Processing Best Practices & Examples
A natural language modeling framework based on PyTorch
A system for quickly generating training data with weak supervision
Extract Keywords from sentence or Replace keywords in sentences.
A Unified Toolkit for Deep Learning Based Document Image Analysis