Sandy Tanwisuth's repositories
meltingpot
A suite of test scenarios for multi-agent reinforcement learning.
alpaca-lora
Instruct-tune LLaMA on consumer hardware
fast-marl
FAST iteration of MARL research ideas: A starting point for Multi-Agent Reinforcement Learning
hidden-context
Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"
Intrepid
INTeractive learning via REPresentatIon Discovery
JaxMARL
Multi-Agent Reinforcement Learning with JAX
lab2d
A customisable 2D platform for agent-based AI research
maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Mava
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
maxtext
A simple, performant and scalable Jax LLM!
Meta-TTS
Official repository of https://doi.org/10.1109/TASLP.2022.3167258. More up-to-date code is in "refactor" branch.
micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Neural-Network-Zero-to-Hero
Writing keys libraries and core architectures from scratch. Following the tutorials of Neural Network Zero to Hero class from Andrej Karphathy.
nn-zero-to-hero
Neural Networks: Zero to Hero
optuna
A hyperparameter optimization framework
pax
Scalable Opponent Shaping Experiments in JAX
popgym
Partially Observable Process Gym
pycid
Library for graphical models of decision making, based on pgmpy and networkx
pytorch-Deep-Learning
Deep Learning (with PyTorch)
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
SAELens
Training Sparse Autoencoders on Language Models
sequential_social_dilemma_games
Repo for reproduction of sequential social dilemmas