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Fundamental Research Labs
- Menlo Park
- https://fundamentalresearchlabs.com/
- @GuangyuRobert
Highlights
- Pro
Stars
Pipeline-parallel LLM inference across GPUs on separate machines.
Programmable spreadsheet platform with a TypeScript/Rust engine, SDK, and embeddable workbook runtime.
An Open-Ended Embodied Agent with Large Language Models
Generative Agents: Interactive Simulacra of Human Behavior
Modern React starter kit with Bun, TypeScript, Tailwind CSS, tRPC, Stripe, and Cloudflare Workers. Production-ready monorepo for building fast web apps.
Capture data from physical devices to animate characters and cameras in real time within the Editor. Record the animations in the form of takes and iterate on the recordings. Genlock and synchroniz…
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
3D RL Volleyball environment built on Unity ML-Agents
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Elephant is the Electrophysiology Analysis Toolkit
For running psychology and neuroscience experiments
Sphinx theme from Read the Docs
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
PyTorch implementations of deep reinforcement learning algorithms and environments
Modularized Implementation of Deep RL Algorithms in PyTorch
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
hill-a / stable-baselines
Forked from openai/baselinesA fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Inferring and Executing Programs for Visual Reasoning