mntabassm

100-Days-Of-ML-Code

100 Days of ML Coding

ascrda

Augmented SCRDA

awesome-deepbio

A curated list of awesome deep learning applications in the field of computational biology

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-satellite-imagery-datasets

List of satellite imagery datasets with annotations for computer vision and deep learning

basics

📚 Learn ML with clean code, simplified math and illustrative visuals.

learnxinyminutes-docs

Code documentation written as code! How novel and totally my idea!

pandas_exercises

Practice your pandas skills!

SAEN-LARS

Sequential adaptive elastic net (SAEN) approach, complex-valued LARS solver for weighted Lasso/elastic-net problems, and sparsity (or model) order detection with an application to single-snapshot source localization.

mntabassm/pandas_exercises

Practice your pandas skills!

mntabassm/basics

📚 Learn ML with clean code, simplified math and illustrative visuals.

mntabassm/bunken

A chrome extension to download ebooks directly from Goodreads.

mntabassm/calm-notebooks

notebooks that are used at calmcode.io

mntabassm/covTest

:exclamation: This is a read-only mirror of the CRAN R package repository. covTest — Computes covariance test for adaptive linear modelling

mntabassm/cpbook-code

CP4 Free Source Code Project (c++11, java8, python3 and especially ocaml)

mntabassm/Data-Science--Cheat-Sheet

Cheat Sheets

mntabassm/Inverted_Pendulum

mntabassm/IoT-For-Beginners

12 Weeks, 24 Lessons, IoT for All!

mntabassm/julia-introduction

Introduction to Julia

mntabassm/Kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

mntabassm/labs

Rmd source files for the HarvardX series PH525x

mntabassm/LARS.jl

Least angle regression and the lasso covariance test

mntabassm/LeNet-5-PyTorch

Implementation of LeNet-5 architecure on CPU and GPU using PyTorch

mntabassm/Machine-Learning

Here you will find all the concepts related to Machine Learning.

mntabassm/manim

Animation engine for explanatory math videos

mntabassm/MAPIE

A scikit-learn-compatible module for estimating prediction intervals.

mntabassm/microarray-analysis

Materials on the analysis of microarray expression data; focus on re-analysis of public data ( http://tinyurl.com/cruk-microarray)

mntabassm/ml_algorithms

Machine Learning Algorithms - supplement for my Medium blog

mntabassm/OpenDS4All

OpenDS4All project, hosted by LF AI & Data

mntabassm/PluralCrypt

A GUI for decrypting Pluralsight videos downloaded from the Pluralsight Offline Player

mntabassm/probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

mntabassm/PyTorchStepByStep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

mntabassm/pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

mntabassm/raw

The missing link between spreadsheets and data visualization

mntabassm/resume

Files and scripts used to build my own resume.

mntabassm/Single-cell-RNA-seq-data-analysis-2018

Event page: https://www.csc.fi/web/training/-/single-cell-rnaseq-r-2018

mntabassm/sionna

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

mntabassm/sparsediscrim

Sparse and Regularized Discriminant Analysis in R

mntabassm/WhirlwindTourOfPython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"