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admmbo

An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''

botorch

Bayesian optimization in PyTorch

bregman-proximal-dc-algorithm

Bregman Proximal type algorithms

cet

CET: Counterfactual Explanation Tree [AISTATS-22]

cgmres-3languages

cql

PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

dace

DACE: Distribution-Aware Counterfactual Explanation [IJCAI-20]

deep-learning-from-scratch-4

ゼロから作るDeep Learning④強化学習編

diffusion-models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

diffusion-policies-for-offline-rl

doro

Distributional and Outlier Robust Optimization (ICML 2021)

gail-pytorch

PyTorch implementation of GAIL and PPO reinforcement learning algorithms

gail_ppo

Generative Adversarial Imitation Learning

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

graduate_exam

京都大学数学系の院試の問題と解答です

graduateschoolentranceexamination

東京大学大学院情報理工学系研究科入試問題過去問解答など

inverse_reinforcement_learning

逆強化学習のサンプル

linear-programming

主双対内点法による線形計画法

lm-human-preferences

Code for the paper Fine-Tuning Language Models from Human Preferences

manifold-optimization-book

『多様体上の最適化理論』サポートページ

mathematical-engineering

数理工学の講義資料

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

mogp

Mixture of Gaussian Processes Model for Sparse Longitudinal Data

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

ordce

OrdCE: Ordered Counterfactual Explanation [AAAI-21]

pac_gp

Implementation of the PAC Bayesian GP learning method.

palm-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

python_simple_mppi

Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.

pytorch-rl

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.