danielrjiang

edsl

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.

backpack

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

paperlib

An open-source academic paper management tool.

an-instructive-workshop.github.io

an-instructive-workshop.github.io

uncovering-missed-tackle-opportunities

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

Pearl

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

trl

Train transformer language models with reinforcement learning.

d2l-en

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

BudgetedBO

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

RSBO

gym

A toolkit for developing and comparing reinforcement learning algorithms.

covid-19-data

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

whynot

A Python sandbox for decision making in dynamics

filterpy

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, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

ADP-Benchmarks

swa

Stochastic Weight Averaging in PyTorch

rlpyt

Reinforcement Learning in PyTorch

HesBO

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

Ax

Adaptive Experimentation Platform

botorch

Bayesian optimization in PyTorch

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

pybullet-gym

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

gym-windy-gridworlds

Windy GridWorlds environments compatible with OpenAI gym.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

boto3

AWS SDK for Python

DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

FRED

The Public FRED Repository

mobike-crawler

摩拜单车爬虫

s2client-proto

StarCraft II Client - protocol definitions used to communicate with StarCraft II.