Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
☆2,245Jul 11, 2026Updated last week
Alternatives and similar repositories for machine-learning-refined
Users that are interested in machine-learning-refined are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆7,113Feb 26, 2026Updated 4 months ago
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆29,203Aug 18, 2024Updated last year
- Companion webpage to the book "Mathematics For Machine Learning"☆15,791Mar 13, 2025Updated last year
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆28,184Jun 25, 2024Updated 2 years ago
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,626Dec 10, 2025Updated 7 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆4,406Oct 27, 2022Updated 3 years ago
- NYU Deep Learning Spring 2020☆6,810Jun 16, 2025Updated last year
- Efficiently computes derivatives of NumPy code.☆7,513Updated this week
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,934Apr 16, 2024Updated 2 years ago
- Course notes for CS228: Probabilistic Graphical Models.☆2,007Jun 24, 2025Updated last year
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆36,028Updated this week
- A game theoretic approach to explain the output of any machine learning model.☆25,628Updated this week
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆32,321Oct 15, 2023Updated 2 years ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,162Updated this week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Python Data Science Handbook: full text in Jupyter Notebooks☆49,317Jun 26, 2024Updated 2 years ago
- PRML algorithms implemented in Python☆11,720Apr 5, 2025Updated last year
- Public facing notes page☆10,967May 14, 2026Updated 2 months ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.☆29,951May 19, 2026Updated 2 months ago
- A curated list of awesome Machine Learning frameworks, libraries and software.☆73,626Updated this week
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆39,548Nov 27, 2022Updated 3 years ago
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆19,877May 20, 2020Updated 6 years ago
- PyMC educational resources☆2,096Dec 23, 2024Updated last year
- Python Implementation of Reinforcement Learning: An Introduction☆14,726Aug 9, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Latex code for making neural networks diagrams☆24,908Aug 21, 2023Updated 2 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,820Oct 2, 2020Updated 5 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,898Updated this week
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,112Jun 29, 2026Updated 3 weeks ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.☆25,599May 19, 2026Updated 2 months ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆12,608Apr 19, 2026Updated 3 months ago
- Notebooks about Bayesian methods for machine learning☆1,919Jul 12, 2026Updated last week
- Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…☆8,509Apr 1, 2026Updated 3 months ago
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆22,080Jul 13, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆23,962Sep 1, 2025Updated 10 months ago
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆162,802Updated this week
- A technical report on convolution arithmetic in the context of deep learning☆14,695Jun 8, 2023Updated 3 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,386Mar 1, 2024Updated 2 years ago
- Google Research☆38,414Updated this week
- this repository accompanies the book "Grokking Deep Learning"☆7,718Jun 1, 2024Updated 2 years ago
- scikit-learn: machine learning in Python☆66,746Updated this week