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LaTeX.css is a CSS library that makes your website look like a LaTeX document

HTML 3,464 147 Updated May 13, 2026

End-to-end Generative Optimization for AI Agents

Python 743 58 Updated Jun 17, 2026

Benchmark functions for Bayesian optimization

Python 37 6 Updated Mar 12, 2024
Jupyter Notebook 4 1 Updated May 6, 2026

A PyTorch Library for Multi-Task Learning

Python 2,564 231 Updated May 14, 2025

Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.

Python 469 73 Updated Jun 18, 2026

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

Python 614 57 Updated Nov 28, 2025

An open-source academic paper management tool.

TypeScript 2,221 106 Updated Apr 1, 2026

an-instructive-workshop.github.io

JavaScript 2 5 Updated Oct 25, 2024

Code for the NFL Big Data Bowl 2024 submission on Tackle Probability, Opportunity, and Conversion

Jupyter Notebook 14 3 Updated Mar 4, 2024

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

Jupyter Notebook 3,007 203 Updated Jun 9, 2026

Train transformer language models with reinforcement learning.

Python 18,695 2,800 Updated Jun 23, 2026

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Python 29,045 5,075 Updated Aug 18, 2024

Companion code for the paper "Multi-step budgeted Bayesian optimization with unknown evaluation costs".

Python 9 1 Updated Dec 30, 2021
Python 1 Updated Apr 24, 2023

A toolkit for developing and comparing reinforcement learning algorithms.

Python 37,228 8,702 Updated Mar 26, 2026

A repository of data on coronavirus cases and deaths in the U.S.

6,970 3,391 Updated Apr 2, 2024

A Python sandbox for decision making in dynamics

Python 427 45 Updated Aug 21, 2023

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…

Python 3,843 672 Updated Feb 7, 2024

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

Python 3,901 843 Updated May 29, 2022
Python 1 2 Updated Mar 19, 2020

Stochastic Weight Averaging in PyTorch

Python 983 130 Updated Aug 1, 2021

Reinforcement Learning in PyTorch

Python 2,280 327 Updated Jan 4, 2021

The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces

Python 43 20 Updated Jun 8, 2019

Adaptive Experimentation Platform

Python 2,767 371 Updated Jun 23, 2026

Bayesian optimization in PyTorch

Jupyter Notebook 3,561 484 Updated Jun 23, 2026

A highly efficient implementation of Gaussian Processes in PyTorch

Python 3,895 594 Updated Jun 8, 2026

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

Python 879 125 Updated Oct 16, 2021

Windy GridWorlds environments compatible with OpenAI gym.

Python 15 8 Updated Jul 8, 2022
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