Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
updated at May 22, 2024, 4:30 p.m.
Tools, wrappers, etc... for data science with a concentration on text processing
updated at May 23, 2024, 9:12 a.m.
Python package for Bayesian Machine Learning with scikit-learn API
updated at May 23, 2024, 1:07 p.m.
Library for metric learning pipelines and models.
updated at May 23, 2024, 5:30 p.m.
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
updated at May 24, 2024, 3:33 a.m.
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练:算法与应用》中文电子书、源码、读者交流社区(持续更新中 ...) 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
updated at May 24, 2024, 9:05 a.m.
Examples of Machine Learning code using Comet.ml
updated at May 24, 2024, 3:05 p.m.
A scikit-learn compatible neural network library that wraps PyTorch
updated at May 24, 2024, 7:55 p.m.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
updated at May 25, 2024, 9:42 a.m.
Jupyter notebooks from the scikit-learn video series
updated at May 25, 2024, 2:08 p.m.
Recipes for using Python's pandas library
updated at May 25, 2024, 4:17 p.m.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
updated at May 25, 2024, 7:58 p.m.
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 ;)
updated at May 25, 2024, 8:35 p.m.