🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
updated at Nov. 17, 2024, 5:08 p.m.
Notebooks and code for the book "Introduction to Machine Learning with Python"
updated at Nov. 17, 2024, 3:42 p.m.
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
updated at Nov. 17, 2024, 3:15 p.m.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
updated at Nov. 17, 2024, 5:02 a.m.
Recipes for using Python's pandas library
updated at Nov. 17, 2024, 2:24 a.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 Nov. 16, 2024, 9:17 p.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 Nov. 16, 2024, 6:12 p.m.
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
updated at Nov. 16, 2024, 4:08 p.m.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
updated at Nov. 16, 2024, 3 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 Nov. 16, 2024, 12:26 p.m.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
updated at Nov. 16, 2024, 12:08 p.m.
A scikit-learn compatible neural network library that wraps PyTorch
updated at Nov. 16, 2024, 1:52 a.m.
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
updated at Nov. 14, 2024, 8:27 p.m.
Efficient Image Captioning code in Torch, runs on GPU
updated at Nov. 14, 2024, 2:15 p.m.
Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers
updated at Nov. 14, 2024, 10:46 a.m.