TaiChiTiger's Stars
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
dbt-labs/dbt-core
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
sacridini/Awesome-Geospatial
Long list of geospatial tools and resources
awslabs/deequ
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
ermongroup/cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
probml/pml2-book
Probabilistic Machine Learning: Advanced Topics
huawei-noah/trustworthyAI
Trustworthy AI related projects
google/jaxopt
Hardware accelerated, batchable and differentiable optimizers in JAX.
awslabs/python-deequ
Python API for Deequ
probml/dynamax
State Space Models library in JAX
nteract/commuter
🚎 Notebook sharing hub
LeoGrin/tabular-benchmark
microsoft/causica
scikit-learn-contrib/project-template
A template for scikit-learn extensions
microsoft/project-azua
Data Efficient Decision Making
BenWilson2/ML-Engineering
Reference code base for ML Engineering, Manning Publications
matthewvowels1/Awesome-Causal-Inference
A curated list of awesome work on causal inference, particularly in machine learning.
ikibardin/kaggle-camera-model-identification
Code for reproducing 2nd place solution for Kaggle competition IEEE's Signal Processing Society - Camera Model Identification
Ashton-Sidhu/plotly-graph
Create interactive network graph visualizations.
Nyandwi/algorithms
Agorithms and data structures in Python 🐍
harshraj11584/Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
AlexIoannides/pymc-advi-hmc-demo
Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.
haven-ai/optimization-toolkit
ksharma67/LeetCode-NeetCode-150
Leetcode NeetCode 150 problems solved in Python for interview prep.
MingSheng92/NMF
Implementation of Projected gradient NMF