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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Platform for building AI that can learn and answer questions over federated data.
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.
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Build GUI for your Python program with JavaScript, HTML, and CSS
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
Gin provides a lightweight configuration framework for Python
Port of Google's language-detection library to Python.
The most accurate natural language detection library for Python, suitable for short text and mixed-language text
Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifi…
A deep learning toolkit specialized for handwritten document analysis
psads / pythonds3
Forked from bnmnetp/pythondsData Structures package for Problem Solving with Algorithms and Data Structures using Python
Runner in charge of collecting metrics from LLM inference endpoints for the Unify Hub