nublu1234's Stars
luelhagos/abtest-mlops
A/B testing with Machine Learning
pyglet/pyglet
pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.
probml/pml2-book
Probabilistic Machine Learning: Advanced Topics
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
ckbjimmy/2019_tokyo
2019 causal inference workshop
tensorchiefs/bbs
Datalab Brown Bag Seminar
tensorchiefs/dl_course_2022
obsidian-html/obsidian-html
Python code to convert Obsidian notes to proper markdown and optionally to create an html site too.
tensorchiefs/dl_course_2021
ahrm/sioyek
Sioyek is a PDF viewer with a focus on textbooks and research papers
py-why/causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
huawei-noah/trustworthyAI
Trustworthy AI related projects
kearnz/autoimpute
Python package for Imputation Methods
awslabs/datawig
Imputation of missing values in tables.
icsdataset/hai
HIL-based Augmented ICS (HAI) Security Dataset
ijmbarr/causalgraphicalmodels
Causal Graphical Models in Python
r-causal/causal_inference_r_workshop
Causal Inference in R Workshop
bradendubois/do-calculus
A Python implementation of the do-calculus of Judea Pearl et al.
kochbj/Deep-Learning-for-Causal-Inference
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
sailinglab/pgm-spring-2019
Course webpage for PGM, Spring 2019.
jeongyoonlee/Kaggler
Code for Kaggle Data Science Competitions
erdogant/bnlearn
Bnlearn is a Python library for causal discovery by learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
albayraktaroglu/Datasets
Includes sample datasets for machine learning
amajai/niceposter
🖼 Image Manipulation Tool - Used for creating & modifying image posters
xuesoso/SOSODE
SOSODE is a neovim-based development environment for interactive data analysis and scripting.
QAMichaelPeng/obsidian-graphviz
Graphviz plugin for obsidian md.
metamath1/ml-simple-works
convex-optimization-for-all/convex-optimization-for-all.github.io
모두를 위한 컨백스 최적화
xunzheng/notears
DAGs with NO TEARS: Continuous Optimization for Structure Learning
rrtucci/Bayesuvius
a visual dictionary of Bayesian Networks and Causal Inference.