Research
Showing 36 of 85 projects
A repository of state-of-the-art model implementations and examples built with TensorFlow, demonstrating best practices for research and production.
A collection of research code and datasets released by Google Research under open licenses.
A collection of research code and datasets released by Google Research under open licenses.
A fast open framework for deep learning with a focus on expression, speed, and modularity.
A collection of concise PyTorch tutorials for deep learning researchers, with most models implemented in under 30 lines of code.
A community-driven repository tracking datasets and state-of-the-art results for common NLP tasks across multiple languages.
A curated list of resources dedicated to Natural Language Processing (NLP), including libraries, datasets, tutorials, and research.
Open-source simulator for drones and autonomous vehicles built on Unreal Engine and Unity, designed for AI research.
An open-source simulator built on Unreal Engine for developing, training, and validating autonomous driving systems.
A drop-in replacement for the MNIST dataset, featuring 70,000 Zalando fashion article images for benchmarking machine learning algorithms.
A deep reinforcement learning library offering high-quality, single-file implementations of algorithms like PPO, DQN, and SAC for research and education.
A TensorFlow 2 library providing simple, composable abstractions for machine learning research via the snt.Module concept.
An AI-powered research assistant that performs deep, agentic research using multiple LLMs and search engines with full local deployment and encryption.
An end-to-end deep learning library focused on clear code, speed, and research, built by Google Brain.
An end-to-end deep learning library focused on clear code and speed, used for research and production by Google Brain.
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 curated list of robotics resources including courses, books, software, conferences, journals, competitions, and companies.
A curated list of robotics resources including courses, books, software, conferences, journals, competitions, and companies.
A Python framework for rapid prototyping and testing of evolutionary algorithms, including genetic algorithms, genetic programming, and evolution strategies.
An alphabetical list of free and public domain text datasets for Natural Language Processing (NLP) tasks.
A curated collection of links to conference publications, surveys, and software in graph-based deep learning.
A research framework for reinforcement learning providing modular building blocks and reference agent implementations.
A JAX library for rapid prototyping of large-scale attention-based vision models across images, video, audio, and multimodal data.
A Swift library that implements a Star Wars-style transition animation to crumble view controllers into tiny pieces.
A modular library for Bayesian optimization built on PyTorch, enabling efficient optimization of expensive black-box functions.
A collection of autonomous driving datasets and evaluation code for advancing machine perception and self-driving research.
A PyTorch framework for deep learning research and development, focusing on reproducibility and rapid experimentation.
A modern operating system written in Rust that explores intralingual design, shifting OS responsibilities like resource management into the compiler.
A curated list of awesome open-source OCR software, libraries, datasets, and literature.
A curated list of tools and resources for researchers, covering organization, writing, publishing, data analysis, and academic workflows.
A modern ISO Prolog implementation written in Rust, aiming to be an industrial-strength production environment and research testbed.
A gradient processing and optimization library for JAX, designed for research with composable building blocks.
A curated collection of resources on digital morphogenesis, covering growth algorithms, math/physics topics, and code patterns for generative form creation.
A curated collection of DeFi and blockchain research papers, tools, and security resources for developers and researchers.
A curated collection of datasets for Simultaneous Localization and Mapping (SLAM) research, categorized by topic, platform, and environment.
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