afshinea / stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
☆18,161Updated 4 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☆6,566Updated 4 years ago
- VIP cheatsheets for Stanford's CS 221 Artificial Intelligence☆2,717Updated 5 years ago
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,345Updated 4 years ago
- A collection of various deep learning architectures, models, and tips☆17,043Updated last year
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,566Updated 6 months ago
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,165Updated 4 years ago
- Tutorials, assignments, and competitions for MIT Deep Learning related courses.☆10,292Updated last year
- The most cited deep learning papers☆25,838Updated last year
- 100 Days of ML Coding☆47,200Updated last year
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆15,829Updated last year
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,416Updated 5 months ago
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,615Updated 9 months ago
- Top 200 deep learning Github repositories sorted by the number of stars.☆1,711Updated last year
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,379Updated last year
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆38,544Updated 8 months ago
- Code for Tensorflow Machine Learning Cookbook☆6,256Updated 11 months ago
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,170Updated last year
- Your new Mentor for Data Science E-Learning.☆14,072Updated last year
- NYU Deep Learning Spring 2020☆6,759Updated last month
- Machine learning glossary☆3,061Updated 9 months ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆11,862Updated 4 months ago
- this repository accompanies the book "Grokking Deep Learning"☆7,577Updated 11 months ago
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆25,775Updated 8 months ago
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,456Updated last year
- This repository is no longer maintained.☆15,400Updated 5 years ago
- A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, …☆28,762Updated 11 months ago
- Machine Learning Course with Python:☆7,041Updated 5 months ago
- This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the …☆5,192Updated 2 years ago
- Plain python implementations of basic machine learning algorithms☆4,374Updated 10 months ago
- ☆2,566Updated 2 years ago