remicnrd / ml_cheatsheetLinks
A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood
☆1,439Updated 7 years ago
Alternatives and similar repositories for ml_cheatsheet
Users that are interested in ml_cheatsheet are comparing it to the libraries listed below
Sorting:
- A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.☆1,043Updated 7 years ago
- A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects☆257Updated 5 years ago
- Deep Learning tutorials in jupyter notebooks.☆1,809Updated 2 years ago
- Organized Resources for Deep Learning Researchers and Developers☆3,183Updated 2 years ago
- ☆758Updated 2 years ago
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,784Updated 5 years ago
- Notebook to download machine learning flashcards☆456Updated 5 years ago
- A collaborative list of interactive Machine Learning, Deep Learning and Statistics websites☆437Updated 2 years ago
- Notes for Fastai Deep Learning Course☆1,125Updated 4 months ago
- The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.☆1,962Updated last year
- Growing the code out of your notebooks - the right way.☆528Updated 2 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,802Updated 4 years ago
- A repo of curated links to Math lectures by Prof. Richard Feynman☆648Updated last year
- Simple and comprehensive tutorials in TensorFlow☆2,862Updated last year
- Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison☆754Updated 4 years ago
- Organized & Useful Resources about Deep Learning with TensorFlow☆21Updated 5 years ago
- another book on data science☆609Updated 5 years ago
- This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforwa…☆1,388Updated 5 years ago
- Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way☆1,451Updated 7 years ago
- This is the formula sheet for "Mathematics for Beginners" by Siraj Raval on Youtube☆482Updated 6 years ago
- Essential Guide to keep up with AI/ML/DL/CV☆1,050Updated 6 months ago
- ☆1,040Updated 4 years ago
- Foundations of Machine Learning☆339Updated last year
- Collected opinions and advice for academic programs focused on data science skills.☆443Updated 5 years ago
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library☆595Updated 5 years ago
- Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence☆909Updated 2 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆493Updated 6 years ago
- Hope this helps :)☆106Updated 5 years ago
- The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learni…☆693Updated 2 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆537Updated 6 years ago