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Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
A high-throughput and memory-efficient inference and serving engine for LLMs
A curated list of awesome Machine Learning frameworks, libraries and software.
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A toolkit for developing and comparing reinforcement learning algorithms.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
The fundamental package for scientific computing with Python.
You like pytorch? You like micrograd? You love tinygrad! ❤️
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
⚡ A Fast, Extensible Progress Bar for Python and CLI
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Fast and memory-efficient exact attention
Build and run agents you can see, understand and trust.
PyTorch implementations of Generative Adversarial Networks.
Convert Machine Learning Code Between Frameworks
Hierarchical Reasoning Model Official Release
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Hackable and optimized Transformers building blocks, supporting a composable construction.
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
Perform data science on data that remains in someone else's server
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.