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Inspect: A framework for large language model evaluations
Generative Agents: Interactive Simulacra of Human Behavior
Unleashing the Power of Cognitive Dynamics on Large Language Models
Worker to orchestrate and manage running an arbitrary number of LLM-generated builds concurrently using containerized Minecraft Servers.
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
A suite of test scenarios for multi-agent reinforcement learning.
🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
Generative Agents: Interactive Simulacra of Human Behavior
Generative Agents: Interactive Simulacra of Human Behavior
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
Distribute and run LLMs with a single file.
A Gradio web UI for Large Language Models with support for multiple inference backends.
Easily train a good VC model with voice data <= 10 mins!
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
An Alexandria community initiative to embed all of human belief. See more: https://alex.macrocosm.so/religion
Train transformer language models with reinforcement learning.
SoftVC VITS Singing Voice Conversion
PyTorch implementation of DreamerV2 model-based RL algorithm
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…
A library for neuroscience-inspired navigation and decision making research.
Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments
PyTorch implementations of deep reinforcement learning algorithms and environments
Code for the paper "Quantifying Transfer in Reinforcement Learning"
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
Simple and easily configurable 3D FPS-game-like environments for reinforcement learning
High throughput synchronous and asynchronous reinforcement learning
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow