abhishekkrthakur / approachingalmostLinks
Approaching (Almost) Any Machine Learning Problem
☆8,267Updated 2 years ago
Alternatives and similar repositories for approachingalmost
Users that are interested in approachingalmost are comparing it to the libraries listed below
Sorting:
- Approaching (Almost) Any Machine Learning Problem中译版,在线文档地址:https://ytzfhqs.github.io/AAAMLP-CN/☆1,938Updated last month
- Code Repository for The Kaggle Book, Published by Packt Publishing☆2,304Updated last month
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,470Updated last month
- Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.☆5,174Updated last year
- Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"☆1,278Updated 10 months ago
- Code Repository for Machine Learning with PyTorch and Scikit-Learn☆4,933Updated 3 weeks ago
- Jupyter notebooks for the Natural Language Processing with Transformers book☆4,691Updated last year
- A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, …☆29,805Updated last year
- Machine Learning Notebooks☆3,430Updated last year
- NYU Deep Learning Spring 2021☆1,652Updated 2 months ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆6,995Updated last month
- Understanding Deep Learning - Simon J.D. Prince☆8,941Updated last week
- Repository for the free online book Machine Learning from Scratch (link below!)☆1,294Updated 2 years ago
- Code examples in pyTorch and Tensorflow for CS230☆4,194Updated 2 years ago
- Contains the note for the Approaching(Almost) any Machine Learning Problem by Abhishek Thakur.☆81Updated 5 years ago
- This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.☆2,474Updated last year
- Pen and paper exercises in machine learning☆2,576Updated last year
- A handbook for ML built on answers.☆498Updated 4 months ago
- 🏅 Collection of Kaggle Solutions and Ideas 🏅☆6,261Updated 3 weeks ago
- NYU Deep Learning Spring 2020☆6,780Updated 7 months ago
- https://huyenchip.com/ml-interviews-book/☆4,473Updated 10 months ago
- AI-related tutorials. Access any of them for free → https://towardsai.net/editorial☆1,012Updated last year
- A playbook for systematically maximizing the performance of deep learning models.☆29,718Updated last year
- Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set…☆2,540Updated last year
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆19,203Updated 5 years ago
- Applied Deep Learning Course☆3,485Updated 2 years ago
- 🧠 A study guide to learn about Transformers☆1,628Updated 2 years ago
- A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth artic…☆2,913Updated 2 years ago
- The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to exp…☆2,168Updated 7 months ago
- Machine learning, in numpy☆16,242Updated 2 years ago