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OpenCoast
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15:40
(UTC +02:00) - https://abodacs.github.io/
Course
YSDA course in Natural Language Processing
Statistical Rethinking course winter 2022
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Jupyter notebooks for the Natural Language Processing with Transformers book
Sample implementations for cloud design patterns found in the Azure Architecture Center.
OTTR for making courses! This is a template repo that helps people write 1 course but publish it in three places. Rendered example: https://jhudatascience.org/OTTR_Template/
Code Repository for Python Architecture Patterns, Created by Packt
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things Devβ¦
π₯ Machine Learning Notebooks
Pen and paper exercises in machine learning
π Collection of Kaggle Solutions and Ideas π
Labs for the Foundations of Applied Mathematics curriculum.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
Collection of useful machine learning codes and snippets (originally intended for my personal use)
Python for Head First Design Patterns book (2020)
Sample apps for YouTube channel. Machine Learning, Web Development, Python.
Machine Learning algorithm implementations from scratch.
Build a recommendation engine using Django & a Machine Learning technique called Collaborative Filtering.
Notebooks for the Practicals at the Deep Learning Indaba 2022.
deep learning for image processing including classification and object-detection etc.
The "Python Machine Learning (2nd edition)" book code repository and info resource
Understanding Deep Learning - Simon J.D. Prince
π§βπ« 60+ Implementations/tutorials of deep learning papers with side-by-side notes π; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gaβ¦