Ai Research
Showing 23 of 59 projects
A free and open-source C++ framework for creating AI agents that play StarCraft: Brood War.
A modular Python library for Reinforcement Learning with support for PyTorch, JAX, NVIDIA Warp, and multiple environment interfaces.
A curated collection of research papers on molecular and material design using generative AI and deep learning techniques.
A curated collection of papers, code, and datasets for deep learning and multimodal learning in video analysis.
A curated list of resources for Question Answering (QA), covering machine learning, deep learning, datasets, and research.
A curated collection of Monte Carlo tree search research papers with implementations from top AI conferences.
Open-source language models and tools for protein engineering and design using AI.
An open-source implementation reproducing DeepMind's Atari-playing deep reinforcement learning system from their seminal 2013 paper.
An OpenAI Gym environment wrapper for the CARLA autonomous driving simulator, enabling reinforcement learning research.
A large-scale StarCraft: Brood War replay dataset for AI research, containing 65,646 games with frame and action data.
An AI system that incrementally generates scientific paper drafts by predicting links between concepts and generating text sections.
An open-source toolkit for scalable, standardized computational pathology analysis, enabling AI and machine learning on large imaging datasets.
Interactive visualization tool for understanding Capsule Network (CapsNet) layers and their internal workings.
A curated collection of resources for Artificial General Intelligence and Computational Cognitive Sciences, covering papers, tools, and researchers.
A simple, deterministic real-time strategy game environment designed for AI and reinforcement learning research.
A curated collection of research papers tracking the frontier of AI-based protein design methods and applications.
A JAX-based library for federated learning simulations that emphasizes ease-of-use in research.
Ankh is a state-of-the-art protein language model for general-purpose protein modeling and engineering tasks.
A curated collection of papers, datasets, tools, and resources for applying machine learning to small-molecule drug discovery.
An artificial life simulation system that evolves neural networks for artificial intelligence research.
A conversational AI framework for editing small molecules, peptides, and proteins using retrieval-augmented generation and domain feedback.
A curated archive of research papers and resources on generative modeling, covering GANs, image synthesis, 3D generation, and applications.
A strongly-typed genetic programming framework for Python that makes evolutionary algorithms accessible and fun.
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