Pinned Repositories
ML2021
My coursework for Machine Learning (2021 Spring) at National Taiwan University (NTU)
Bayesian-Analysis-with-Python
Bayesian Analysis with Python (Second Edition)
botorch
Bayesian optimization in PyTorch
botorch-tutorial
BoTorch_tutorial
My personal note
Gaussian-Processes-Regression-Tutorial
An Intuitive Tutorial to Gaussian Processes Regression
Gaussian-Processes-short-course
gp_experiments
Gaussian process experiments with Pymc, Gpy and Gpytorch
labs
Repository for labs
Lhy_Machine_Learning
李宏毅2021春季机器学习课程课件及作业
TimLK's Repositories
TimLK/VPP_Submission-CFD-DEM
Data repository
TimLK/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
TimLK/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
TimLK/SOFTX-D-22-00296
Laser Ray Tracing Implementation and fluid flow simulation framework for Additive Manufacturing, laser welding, laser drilling applications
TimLK/Bayesian-Analysis-with-Python
Bayesian Analysis with Python (Second Edition)
TimLK/gp_experiments
Gaussian process experiments with Pymc, Gpy and Gpytorch
TimLK/taichi
Productive & portable high-performance programming in Python.
TimLK/botorch
Bayesian optimization in PyTorch
TimLK/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
TimLK/Gaussian-Processes-Regression-Tutorial
An Intuitive Tutorial to Gaussian Processes Regression
TimLK/PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
TimLK/Lhy_Machine_Learning
李宏毅2021春季机器学习课程课件及作业
TimLK/WhileMyMCMCGentlySamples
my blog
TimLK/labs
Repository for labs
TimLK/ML2021
My coursework for Machine Learning (2021 Spring) at National Taiwan University (NTU)
TimLK/BoTorch_tutorial
My personal note
TimLK/tutorials
机器学习相关教程
TimLK/pool-tracker-pro
Error-free 3D printing. Defect detection and melt pool monitoring in a metal 3D printer. Tracks area of the melt pool, intensity, and radius. The variations of the melt pool are used to detect build defects.
TimLK/botorch-tutorial
TimLK/Gaussian-Processes-short-course