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akkrambasit0114
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This is a repo with links to everything you'd ever want to learn about data engineering
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Understanding Deep Learning - Simon J.D. Prince
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Repository for benchmarking graph neural networks
Paper reading notes on Deep Learning and Machine Learning
Collection of useful machine learning codes and snippets (originally intended for my personal use)
A Pytorch Computer Vision template to quick start your next project! 🚀🚀
Exercises and supplementary material for the deep learning course 02456 using PyTorch.
Collection of tutorials to use the MACE machine learning force field.
Example Notebooks contributed by pycaret community!
Deep Learning Exercise and Notebook
Our project is based on one of the most important application of machine learning i.e. pattern recognition. Optical character recognition or optical character reader is the electronic or mechanical…
basiralab / graph-based-deep-learning-literature
Forked from naganandy/graph-based-deep-learning-literaturelinks to conference publications in graph-based deep learning
Exercise solutions for Foundations of Deep Learning course @ Albert-Ludwigs-Universität, Freiburg
akkrambasit0114 / udlbook
Forked from udlbook/udlbookUnderstanding Deep Learning - Simon J.D. Prince