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 4, 2024, 10:16 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 4, 2024, 10:02 p.m.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
updated at May 4, 2024, 9:39 p.m.
Library for metric learning pipelines and models.
updated at May 4, 2024, 9:19 p.m.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
updated at May 4, 2024, 9:14 p.m.
Efficient Image Captioning code in Torch, runs on GPU
updated at May 4, 2024, 8:36 p.m.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
updated at May 4, 2024, 4:14 p.m.
Notebooks and code for the book "Introduction to Machine Learning with Python"
updated at May 4, 2024, 12:32 p.m.
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
updated at May 4, 2024, 10:47 a.m.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
updated at May 4, 2024, 7:05 a.m.
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
updated at May 4, 2024, 3:30 a.m.
You can Learn Basic Machine learning Techniques from here
updated at May 3, 2024, 7:46 a.m.
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
updated at May 3, 2024, 2:12 a.m.