ashkan-mokarian Goto Github PK

ai-notebooks

Some ipython notebooks implementing AI algorithms

celegans-metric-learning

corona

Reverse engineering SARS-CoV-2

cpp_crash_course

notes and code for the book "c++ crash course" by "Josh Lospinoso".

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

d2l-pytorch

Notes and code for d2l with pytorch

devops-with-docker

Notes, homeworks, and projects for devops-with-docker mini course

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

infectio-mesa

Agent-based model + diffusion to model infection dynamics in cells

infectio-photorealism

infectio_mesa

learn-diffusion

Learning to diffuse visuals using DNN

learn-transformer

mlops-zoomcamp

Notes, homeworks, and projects for MLOps Zoomcamp @ datatalks.club

mowa-keras

Supervised point cloud regression on microscopy images

mowa-supervised-centerpred

ncps

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

practical-mlops-book

[Book-2021] Practical MLOps O'Reilly Book

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

quadrilateral-nonoverlap

A simple image processing software which serves as a showcase of good practices and standards in python.

rust

Learning the rust language

vacvplaques-dataset-tools

viraltally

Tracking the number of infected cells normalized by number of Plaques in microscopy timelapse videos of infection and plaque datasets.

visual_qa

using lstm & cnn for question answering