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.
☆28,825Updated 2 years ago
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:
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆43,736Updated last year
- Minimal and clean examples of machine learning algorithms implementations☆10,918Updated 4 months ago
- 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained☆23,737Updated 11 months ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,403Updated last year
- machine learning and deep learning tutorials, articles and other resources☆17,040Updated last year
- A complete daily plan for studying to become a machine learning engineer.☆28,626Updated last year
- A list of popular github projects related to deep learning☆6,079Updated last year
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,632Updated last year
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,702Updated last year
- The most cited deep learning papers☆26,016Updated last year
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆12,150Updated last month
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,598Updated last year
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆17,641Updated 7 months ago
- An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.☆4,774Updated 2 years ago
- Minimal examples of data structures and algorithms in Python☆24,801Updated 2 weeks ago
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,758Updated last year
- A collection of various deep learning architectures, models, and tips☆17,271Updated last year
- A curated list of awesome Machine Learning frameworks, libraries and software.☆70,325Updated 2 weeks ago
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆39,318Updated 2 years ago
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,521Updated 11 months ago
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆16,196Updated last year
- TensorFlow tutorials and best practices.☆8,610Updated 5 years ago
- A curated list of resources dedicated to Natural Language Processing (NLP)☆17,839Updated last month
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,527Updated 4 months ago
- 100 Days of ML Coding☆48,535Updated last year
- The fastai deep learning library☆27,526Updated last month
- Oxford Deep NLP 2017 course☆15,865Updated 2 years ago
- Your new Mentor for Data Science E-Learning.☆14,274Updated last week
- A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.☆12,363Updated 2 months ago
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,374Updated 4 years ago