Resumes generated using the GitHub informations

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

Train and run Pytorch models on Apache Spark.

A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.

Repository for ML course in Dubai

Some exaples for Docker

How to install environment for local/remote compiler using CLion

Converts .py to .exe using a simple graphical interface

Data Science at the Command Line

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Pure Python implementation of Deflate data compression algorithm.

A simple and fast KD-tree for points in Python for kNN or nearest points. (damm short at just ~60 lines) No libraries needed.

6 labs tutorial for beginners in RabbitMQ

Example of how to create your own package and post it on pypi.org

Logic Programming in Python

The Julia Programming Language

Turn your R code into a web API.

Query almost anything in julia

In-memory tabular data in Julia

Crafty statistical graphics for Julia.

Chunkwise Text-file Processing for 'dplyr'

Koç University deep learning framework.

An interactive book on deep learning. Much easy, so Knet. Wow.

A complete environment for busy polyglot data scientists