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An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
scikit-learn: machine learning in Python
Interact with your documents using the power of GPT, 100% privately, no data leaks
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Code and documentation to train Stanford's Alpaca models, and generate the data.
The fundamental package for scientific computing with Python.
This is a fun, new monospaced font that includes programming ligatures and is designed to enhance the modern look and feel of the Windows Terminal.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A modular graph-based Retrieval-Augmented Generation (RAG) system
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Code samples for my book "Neural Networks and Deep Learning"
A computer algebra system written in pure Python
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
Ongoing research training transformer models at scale
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.