Deep Learning
Showing 36 of 415 projects
A Python library for user-friendly forecasting and anomaly detection on time series, from ARIMA to deep neural networks.
A comprehensive collection of machine learning and deep learning models, trading agents, and simulations for stock market forecasting.
An AutoML library for deep learning that automates model selection and hyperparameter tuning using Keras and TensorFlow.
A collection of beginner-friendly TensorFlow tutorials with accompanying YouTube videos covering deep learning fundamentals and advanced topics.
A scientific computing framework with wide support for machine learning algorithms, built around multi-dimensional tensor operations.
Deep Lake is a multimodal data lake and vector store optimized for AI, enabling scalable data management, retrieval, and training for LLM and deep learning applications.
An AI-powered WiFi security auditing tool that uses deep reinforcement learning to optimize capture of WPA handshakes.
A flexible, scalable deep probabilistic programming library built on PyTorch for universal probabilistic modeling.
A flexible, scalable deep probabilistic programming library built on PyTorch for universal representation of computable probability distributions.
An interactive visualization system for learning how Convolutional Neural Networks work through hands-on exploration.
A Python library for building production-ready model inference APIs, job queues, and multi-model serving systems for AI applications.
A comprehensive guide to TensorFlow 2.x covering fundamentals, best practices, and advanced topics for efficient machine learning development.
A curated list of practical financial machine learning tools, applications, and research repositories.
WebGL-accelerated machine learning library for JavaScript with linear algebra and automatic differentiation.
A lightweight, modular, and scalable deep learning framework built on the original Caffe.
An end-to-end deep learning library focused on clear code and speed, used for research and production by Google Brain.
An end-to-end deep learning library focused on clear code, speed, and research, built by Google Brain.
A PyTorch-based open-source framework for deep learning in healthcare imaging, providing domain-specific tools and workflows.
A library that enables PyTorch, Chainer, MXNet, and NumPy users to write TensorBoard events with simple function calls.
AlphaFold 3 is an AI model that predicts the 3D structures of proteins and their interactions with other biomolecules like DNA, RNA, and ligands.
A Python NLP library from Stanford for tokenization, sentence segmentation, NER, and dependency parsing across 60+ languages.
A curated list of papers, code, and resources for object detection algorithms in computer vision.
An open-source, in-memory platform for distributed and scalable machine learning with support for a wide range of algorithms and big data technologies.
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.
A customizable 3D platform based on Quake III for agent-based AI and deep reinforcement learning research.
A neural network library for JAX designed for flexibility, enabling researchers to experiment with new training forms by modifying training loops.
A neural network library for JAX designed for flexibility, enabling researchers to experiment with new training forms by modifying training loops.
A suite of web applications for inspecting and understanding TensorFlow runs and graphs.
A Python framework for creating AI agents that learn to play any video game you own.
An open-source NLP framework for building and deploying deep learning dialog systems and chatbots with PyTorch and transformers.
A curated collection of standalone examples demonstrating machine learning tasks with TensorFlow.js in browsers and Node.js.
A curated list of awesome neural radiance fields (NeRF) papers, implementations, and resources.
An open-source Python library for applying deep learning to drug discovery, materials science, quantum chemistry, and biology.
An open-source MLOps/LLMOps suite for experiment management, data management, pipelines, orchestration, scheduling, and model serving.
A friendly JavaScript library that makes machine learning accessible in the browser for artists, creative coders, and students.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.