Research
Showing 36 of 38 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 TensorFlow 2 library providing simple, composable abstractions for machine learning research via the snt.Module concept.
A deep reinforcement learning library offering high-quality, single-file implementations of algorithms like PPO, DQN, and SAC for research and education.
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 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 Python framework for rapid prototyping and testing of evolutionary algorithms, including genetic algorithms, genetic programming, and evolution strategies.
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.
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.
An AI-powered research assistant that performs deep, agentic research using multiple LLMs and search engines with full local deployment and encryption.
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 PyTorch framework for deep learning research and development, focusing on reproducibility and rapid experimentation.
A collection of autonomous driving datasets and evaluation code for advancing machine perception and self-driving research.
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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