Ai Research
Showing 36 of 37 projects
A comprehensive open-source guide covering prompt engineering techniques, papers, notebooks, and resources for LLMs, RAG, and AI agents.
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 Python toolkit for developing and comparing reinforcement learning algorithms through a standard API and environment set.
A deep learning framework to pretrain and finetune any AI model at any scale with zero code changes.
A deep learning framework to pretrain and finetune any AI model on any hardware with zero code changes.
Open-source simulator for drones and autonomous vehicles built on Unreal Engine and Unity, designed for AI research.
A collection of implementations and illustrative code accompanying DeepMind's published research papers across AI and machine learning.
A collection of implementations and illustrative code accompanying DeepMind's published research papers across AI and scientific domains.
Open source implementation of AlphaFold 2, a deep learning system for highly accurate protein structure prediction.
A curated list of open-source large language models licensed for commercial use, including models for general text and code generation.
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 curated list of papers, code, and resources for object detection algorithms in computer vision.
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 Python framework for creating AI agents that learn to play any video game you own.
A high-performance automatic speech recognition toolkit from Facebook AI Research, built with fully convolutional neural networks.
Facebook AI Research's automatic speech recognition toolkit for end-to-end ASR with modern neural architectures.
A curated collection of papers, code, and resources for domain adaptation in machine learning.
An AI-powered research assistant that performs deep, agentic research using multiple LLMs and search engines with full local deployment and encryption.
An AI experimentation platform built on Minecraft for training and researching intelligent agents in complex 3D environments.
A curated list of 100 foundational and influential papers in natural language processing for students and researchers.
A toolkit for turning classic video games into Gym environments for reinforcement learning research.
A curated collection of research papers and resources on Vision Transformers (ViT) for computer vision tasks.
A collection of minimalist Gymnasium environments for autonomous driving decision-making and reinforcement learning research.
A TensorFlow library providing building blocks for implementing Reinforcement Learning agents.
A TensorFlow library for implementing, deploying, and testing Contextual Bandits and Reinforcement Learning algorithms.
A large collection of real-world system log datasets for AI-driven log analytics research.
A deep learning system for accurate protein structure and interaction prediction using a three-track neural network.
A platform for developing AI bots that play Doom using visual information, designed for reinforcement learning research.
A multi-modal foundation model for state-of-the-art molecular structure prediction of proteins, small molecules, DNA, RNA, and glycosylations.
Implementations of memory-augmented neural networks for language modeling, dialogue systems, and question answering tasks.
A collection of models, callbacks, and datasets to extend PyTorch Lightning for applied AI/ML research and production.
A BERT language model pre-trained on a large corpus of scientific papers for natural language processing tasks in scientific domains.
A Python library for offline deep reinforcement learning with support for state-of-the-art algorithms and user-friendly APIs.
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