rentruewang / learning-machine
A handbook for ML built on answers.
☆489Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for learning-machine
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.☆327Updated 2 years ago
- Code and files to go along with CS329s machine learning model deployment tutorial.☆604Updated 2 years ago
- ☆341Updated 4 years ago
- Python Feature Engineering Cookbook, published by Packt☆461Updated last year
- Lab materials for the Full Stack Deep Learning Course☆1,205Updated 2 years ago
- Companion repository for the book Building Machine Learning Powered Applications☆652Updated last year
- Implementation of different ML Algorithms from scratch, written in Python 3.x☆407Updated 9 months ago
- Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.☆432Updated last year
- A CS degree with a focus on full-stack ML engineering, 2020☆883Updated 3 years ago
- PyTorch tutorials and best practices.☆1,656Updated 2 years ago
- Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org☆433Updated 3 months ago
- A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory☆287Updated 5 years ago
- Implementation of basic mathematical pattern recognition/machine learning techniques for fun☆92Updated last year
- Code Repository for The Kaggle Book, Published by Packt Publishing☆2,195Updated 5 months ago
- Host repository for the "Reproducible Deep Learning" PhD course☆404Updated 2 years ago
- 100 exercises to learn Python Datatable☆268Updated 2 years ago
- data⎰describe: Pythonic EDA Accelerator for Data Science☆296Updated last year
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 2 years ago
- Complete deep learning project developed in Full Stack Deep Learning, Spring 2021☆450Updated 3 years ago
- A browser extension that links video explanations to research papers on arxiv.org☆414Updated last year
- Interpretable Machine Learning with Python, published by Packt☆444Updated last year
- Machine Learning interview prep guide☆406Updated 4 years ago
- Repository for the free online book Machine Learning from Scratch (link below!)☆1,157Updated last year
- The basic distribution probability Tutorial for Deep Learning Researchers☆1,625Updated 4 years ago
- Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.☆803Updated 3 months ago
- The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflo…☆794Updated 2 years ago
- This course covers how you can use NLP to do stuff.☆267Updated 4 years ago