Neural Network
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An end-to-end open source platform for machine learning with a comprehensive ecosystem of tools and libraries.
An end-to-end open source platform for machine learning with a comprehensive ecosystem of tools and libraries.
A Python package for tensor computation with GPU acceleration and dynamic neural networks built on a tape-based autograd system.
A visualizer for neural network, deep learning, and machine learning models across multiple frameworks.
A visual roadmap outlining the skills, technologies, and learning paths to become an Artificial Intelligence expert in 2022.
A high-performance vector database and search engine written in Rust, designed for AI applications with filtering and payload support.
A curated list of awesome deep learning tutorials, projects, and communities.
A curated list of awesome deep learning tutorials, projects, and communities.
Jupyter notebooks with example code and exercises from the first edition of Hands-on Machine Learning with Scikit-Learn and TensorFlow.
An industrial deep learning framework supporting unified dynamic/static graphs, automatic parallelism, and integrated training/inference for large models.
An industrial deep learning framework from China supporting unified dynamic/static graphs, automatic parallelism, and integrated training/inference for large models.
An open standard format for representing machine learning models to enable interoperability between frameworks.
A hardware-accelerated JavaScript library for training and deploying machine learning models in browsers and Node.js.
A hardware-accelerated JavaScript library for training and deploying machine learning models in the browser and Node.js.
A curated collection of tutorials, articles, and resources for learning machine learning and deep learning topics.
A topic-wise curated list of machine learning and deep learning tutorials, articles, and resources for developers and data scientists.
A unified deep learning toolkit for describing neural networks as computational graphs, supporting feed-forward DNNs, CNNs, and RNNs/LSTMs.
A blazing-fast, lightweight deep learning inference engine from Alibaba, optimized for on-device LLMs and Edge AI.
A Rust-based deep learning framework and tensor library optimized for flexibility, efficiency, and cross-platform portability.
GPU-accelerated neural network library for JavaScript, running in browsers and Node.js.
NVIDIA's SDK for high-performance deep learning inference optimization and deployment on NVIDIA GPUs.
A differentiable computer vision library for PyTorch, providing geometric vision and image processing algorithms for AI workflows.
A modular deep learning library providing a higher-level API for TensorFlow to speed up experimentation.
A collection of beginner-friendly TensorFlow tutorials with accompanying YouTube videos covering deep learning fundamentals and advanced topics.
A comprehensive guide to TensorFlow 2.x covering fundamentals, best practices, and advanced topics for efficient machine learning development.
WebGL-accelerated machine learning library for JavaScript with linear algebra and automatic differentiation.
A simple feed-forward neural network library for JavaScript, enabling machine learning tasks like pattern recognition and function approximation.
McFly replaces your shell's ctrl-r history search with an intelligent neural network-powered engine that prioritizes commands based on context.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers, offering customizable neural layers.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers with customizable neural layers.
An architecture-free neural network library for Node.js and the browser, supporting various network types.
A friendly JavaScript library that makes machine learning accessible in the browser for artists, creative coders, and students.
A header-only, dependency-free deep learning framework in C++14 for embedded systems and IoT devices.
A library for building and evaluating mathematical expressions and neural networks in Go, with automatic differentiation and GPU support.
A comprehensive toolset for converting, visualizing, and managing deep learning models across multiple frameworks like TensorFlow, PyTorch, and Caffe.
A curated list of awesome resources for applying LLMs and deep learning to financial market analysis and algorithmic trading.
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