hliu56

active-bayesian-coresets

BatchBALD

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

MolSets

Molecular graph deep sets learning for mixture property modeling.

VAE-tutorials

edboplus

EDBO+. Bayesian reaction optimization as a tool for chemical synthesis.

ACerS_AE_2024

Materials for ACerS Automated Experiment Course

botorch

Bayesian optimization in PyTorch

public_ml_models

Benchmarking

Benchmarking

olympus

Olympus: a benchmarking framework for noisy optimization and experiment planning

disguvery

stardist

StarDist - Object Detection with Star-convex Shapes

GUVanalysis

active-learning

Play with active learning

leetcode

Leetcode solutions

Leetcode_company_frequency

Collection of leetcode company tag problems. Periodically updating.

graspi

swcarpentry

A meta-repository to help navigate the many lessons and repos of the Software Carpentry Community

CBP_2021

InvariantRiskMinimization

PyTorch code to run synthetic experiments.

polyphase

Thermodynamic phase modelling of polymer solutions

pygraspi

Python-only implementation of Graspi

Reinforcement_Lerning

This repo consists all my RL work and learnings

atari-dqn

Implementing a Deep Q-Network in PyTorch to beat the Pong Atari game. Code is based on Phil Tabor's Udemy course and the paper 'Human-level control through deep reinforcement learning.'

invariant-risk-minimization

Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-implementation

Reinforcement Learning examples implementation and explanation

Reinforcement-Learning

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

gpHSP

Code to build a probabilistic predictive model for HSP

ActiveLearningForRegression