Ai Research
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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 on any hardware with zero code changes.
A deep learning framework to pretrain and finetune any AI model at any scale 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.
An AI-powered research assistant that performs deep, agentic research using multiple LLMs and search engines with full local deployment and encryption.
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 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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