eriklindernoren / ML-From-Scratch
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.
☆24,174Updated 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
- The most cited deep learning papers☆25,626Updated 11 months ago
- Minimal and clean examples of machine learning algorithms implementations☆10,770Updated last year
- A complete daily plan for studying to become a machine learning engineer.☆28,275Updated 7 months ago
- A curated list of awesome Deep Learning tutorials, projects and communities.☆24,623Updated 8 months ago
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆38,626Updated 2 years ago
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆27,113Updated 6 months ago
- machine learning and deep learning tutorials, articles and other resources☆15,762Updated 7 months ago
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆17,222Updated 2 months ago
- Oxford Deep NLP 2017 course☆15,699Updated last year
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆37,974Updated 5 months ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆11,633Updated last week
- Deep Learning for humans☆62,359Updated this week
- 100 Days of ML Coding☆46,081Updated last year
- A curated list of awesome Machine Learning frameworks, libraries and software.☆66,632Updated last month
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,467Updated 5 months ago
- This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to …☆8,944Updated 5 years ago
- A list of popular github projects related to deep learning☆5,910Updated 11 months ago
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,334Updated 4 years ago
- The fastai deep learning library☆26,505Updated last month
- Python programs, usually short, of considerable difficulty, to perfect particular skills.☆23,248Updated 2 weeks ago
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,332Updated last month
- Jupyter notebooks for the code samples of the book "Deep Learning with Python"☆18,915Updated 6 months ago
- Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)☆11,286Updated 2 years ago
- An awesome Data Science repository to learn and apply for real world problems.☆25,512Updated this week
- Classical equations and diagrams in machine learning☆7,526Updated 5 months ago
- Plain python implementations of basic machine learning algorithms☆4,333Updated 6 months ago
- A curated list of deep learning resources for computer vision☆10,869Updated last year
- An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.☆4,756Updated 2 years ago
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆16,874Updated this week
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"☆9,260Updated last year