Ali Shakiba's Projects
Deep Learning for Computer Vision, by Packt
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Source Code for 'Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow' by Hisham El-Amir and Mahmoud Hamdy
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Using deep learning to generate novel molecules as candidates for binding with coronavirus protease
هشت ساعت آموزش یادگیری ماشین و بینایی ماشین و یادگیری عمیق
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Deep Learning tutorials in jupyter notebooks.
DeepWalk - Deep Learning for Graphs
ترجمه آزاد کتاب Django for Professionals
Code for the Kaggle competition http://www.kaggle.com/c/diabetic-retinopathy-detection
Source codes for my offering of Computer Vision course at the Department of Computer Science, Vali-e-Asr University of Rafsanjan
Predicting the likelihood of what the driver is doing in each of the pictures in the dataset.
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
Data Mining Book Slides
The DPA package is the scikit-learn compatible implementation of the Density Peaks Advanced clustering algorithm. The algorithm provides robust and visual information about the clusters, their statistical reliability and their hierarchical organization.
JavaScript browser based layout and representation of connected graphs.
Source code for 'Dynamical Systems with Applications using MATLAB®, 2ed' by Stephen Lynch http://www.springer.com/book/9783319068190
Translation of http://e-maxx.ru into English
Persian markdown editor.
An E-mail based Learning Management System for "Computer Science 10x (x=1,2,3)"
Ensemble of Local Experts
Explorer for Bitcoin and Liquid
Evaluation code for the PhysioNet Challenge 2022
FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)
A MNIST-like fashion product database. Benchmark :point_right:
Draft of the fastai book
🚀✨ Help beginners to contribute to open source projects