GokuMohandas / Made-With-MLLinks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
β38,954Updated 10 months ago
Alternatives and similar repositories for Made-With-ML
Users that are interested in Made-With-ML are comparing it to the libraries listed below
Sorting:
- π€ Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explainedβ23,528Updated 7 months ago
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectβ¦β12,594Updated 8 months ago
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,β¦β28,284Updated last year
- The most cited deep learning papersβ25,875Updated last year
- 100 Days of ML Codingβ47,464Updated last year
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. β¦β24,603Updated last year
- VIP cheatsheets for Stanford's CS 229 Machine Learningβ18,255Updated 5 years ago
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"β9,454Updated 2 years ago
- The fastai deep learning libraryβ27,064Updated 2 weeks ago
- A collection of various deep learning architectures, models, and tipsβ17,084Updated last year
- Machine Learning Course with Python:β7,047Updated 6 months ago
- An awesome Data Science repository to learn and apply for real world problems.β26,629Updated 3 weeks ago
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!β39,067Updated 2 years ago
- Companion webpage to the book "Mathematics For Machine Learning"β14,198Updated 3 months ago
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.β4,471Updated last week
- Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)β11,304Updated 3 years ago
- Your new Mentor for Data Science E-Learning.β14,083Updated last year
- A curated list of awesome Machine Learning frameworks, libraries and software.β68,549Updated this week
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.β15,906Updated last year
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model cβ¦β14,203Updated 11 months ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.β11,935Updated 5 months ago
- This repository is no longer maintained.β15,398Updated 5 years ago
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including β¦β26,102Updated 10 months ago
- Deep Learning for humansβ63,115Updated last week
- 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for allβ72,706Updated this week
- βοΈ DEPRECATED β See https://github.com/ageron/handson-ml3 instead.β25,443Updated last year
- A complete daily plan for studying to become a machine learning engineer.β28,496Updated last year
- Python Data Science Handbook: full text in Jupyter Notebooksβ44,757Updated 11 months ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)β7,360Updated 8 months ago
- An Open Source Machine Learning Framework for Everyoneβ190,361Updated this week