Pinned Repositories
celegans-metric-learning
cpp_crash_course
notes and code for the book "c++ crash course" by "Josh Lospinoso".
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/
infectio-mesa
Agent-based model + diffusion to model infection dynamics in cells
infectio-photorealism
infectio_mesa
mlops-zoomcamp
Notes, homeworks, and projects for MLOps Zoomcamp @ datatalks.club
visual_qa
using lstm & cnn for question answering
ashkan-mokarian's Repositories
ashkan-mokarian/infectio-mesa
Agent-based model + diffusion to model infection dynamics in cells
ashkan-mokarian/visual_qa
using lstm & cnn for question answering
ashkan-mokarian/cpp_crash_course
notes and code for the book "c++ crash course" by "Josh Lospinoso".
ashkan-mokarian/d2l-pytorch
Notes and code for d2l with pytorch
ashkan-mokarian/devops-with-docker
Notes, homeworks, and projects for devops-with-docker mini course
ashkan-mokarian/generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
ashkan-mokarian/infectio-photorealism
ashkan-mokarian/infectio_mesa
ashkan-mokarian/learn-diffusion
Learning to diffuse visuals using DNN
ashkan-mokarian/learn-transformer
ashkan-mokarian/mlops-zoomcamp
Notes, homeworks, and projects for MLOps Zoomcamp @ datatalks.club
ashkan-mokarian/practical-mlops-book
[Book-2021] Practical MLOps O'Reilly Book
ashkan-mokarian/rust
Learning the rust language
ashkan-mokarian/VACVPlaques-dataset-tools
ashkan-mokarian/ai-notebooks
Some ipython notebooks implementing AI algorithms
ashkan-mokarian/celegans-metric-learning
ashkan-mokarian/corona
Reverse engineering SARS-CoV-2
ashkan-mokarian/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.
ashkan-mokarian/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.
ashkan-mokarian/mowa-keras
Supervised point cloud regression on microscopy images
ashkan-mokarian/mowa-supervised-centerpred
ashkan-mokarian/ncps
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
ashkan-mokarian/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
ashkan-mokarian/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
ashkan-mokarian/quadrilateral-nonoverlap
A simple image processing software which serves as a showcase of good practices and standards in python.