afshinea / stanford-cs-229-machine-learningLinks
VIP cheatsheets for Stanford's CS 229 Machine Learning
☆18,273Updated 5 years ago
Alternatives and similar repositories for stanford-cs-229-machine-learning
Users that are interested in stanford-cs-229-machine-learning are comparing it to the libraries listed below
Sorting:
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,594Updated 5 years ago
- VIP cheatsheets for Stanford's CS 221 Artificial Intelligence☆2,748Updated 5 years ago
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"☆9,460Updated 2 years ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,365Updated 8 months ago
- Classical equations and diagrams in machine learning☆7,751Updated 10 months ago
- A curated list of awesome Deep Learning tutorials, projects and communities.☆25,482Updated last month
- A collection of various deep learning architectures, models, and tips☆17,086Updated last year
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆39,740Updated 10 months ago
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,595Updated 8 months ago
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆26,134Updated 10 months ago
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,664Updated 11 months ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,525Updated last year
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,358Updated 4 years ago
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,294Updated last year
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆15,919Updated last year
- The fastai book, published as Jupyter Notebooks☆23,246Updated 10 months ago
- The most cited deep learning papers☆25,875Updated last year
- A curated list of awesome Machine Learning frameworks, libraries and software.☆68,640Updated this week
- Deep Learning Specialization by Andrew Ng on Coursera.☆7,643Updated 6 years ago
- Book about interpretable machine learning☆4,999Updated 2 months ago
- Your new Mentor for Data Science E-Learning.☆14,089Updated last year
- NYU Deep Learning Spring 2020☆6,763Updated last week
- A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.☆6,204Updated 5 years ago
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,473Updated 2 weeks ago
- A complete daily plan for studying to become a machine learning engineer.☆28,509Updated last year
- A list of popular github projects related to deep learning☆5,959Updated last year
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆17,360Updated 3 months ago
- machine learning and deep learning tutorials, articles and other resources☆16,313Updated last year
- 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained☆23,534Updated 7 months ago
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆24,614Updated last year