eriklindernoren / ML-From-ScratchLinks
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
β28,345Updated last year
Alternatives and similar repositories for ML-From-Scratch
Users that are interested in ML-From-Scratch are comparing it to the libraries listed below
Sorting:
- The most cited deep learning papersβ25,968Updated last year
- π€ Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explainedβ23,679Updated 10 months ago
- Minimal and clean examples of machine learning algorithms implementationsβ10,894Updated 3 months ago
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!β39,260Updated 2 years ago
- A curated list of awesome Machine Learning frameworks, libraries and software.β69,689Updated last month
- Learn how to design, develop, deploy and iterate on production-grade ML applications.β42,920Updated last year
- Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)β11,353Updated 3 years ago
- βοΈ DEPRECATED β See https://github.com/ageron/handson-ml3 instead.β25,631Updated last year
- A complete daily plan for studying to become a machine learning engineer.β28,604Updated last year
- TensorFlow tutorials and best practices.β8,615Updated 4 years ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra courseβ10,593Updated last year
- The "Python Machine Learning (2nd edition)" book code repository and info resourceβ7,187Updated 4 years ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)β7,393Updated 11 months ago
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,β¦β28,532Updated last year
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-mβ¦β15,348Updated 5 years ago
- machine learning and deep learning tutorials, articles and other resourcesβ16,855Updated last year
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectβ¦β12,677Updated 10 months ago
- TensorFlow - A curated list of dedicated resources http://tensorflow.orgβ17,502Updated 6 months ago
- Simple and ready-to-use tutorials for TensorFlowβ4,512Updated 4 years ago
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firsβ¦β27,902Updated last year
- Oxford Deep NLP 2017 courseβ15,862Updated 2 years ago
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmβ¦β9,575Updated 2 years ago
- The fastai deep learning libraryβ27,417Updated last week
- A curated list of deep learning resources for computer visionβ11,042Updated 2 years ago
- Plain python implementations of basic machine learning algorithmsβ4,397Updated last year
- An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.β4,775Updated 2 years ago
- A curated list of awesome Deep Learning tutorials, projects and communities.β26,179Updated 3 months ago
- Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.β3,194Updated 5 years ago
- Setup and customize deep learning environment in seconds.β6,288Updated 2 years ago
- Companion webpage to the book "Mathematics For Machine Learning"β14,523Updated 6 months ago