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-learningaspnet

10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

adversarialnetspapers

The classical paper list with code about generative adversarial nets

ai-seed

1000+ ready code templates to kickstart your next AI experiment

annotated_research_papers

This repo contains annotated research papers that I found really good and useful

artificial-intelligence-by-example-second-edition

Artificial Intelligence By Example Second Edition, published by Packt

awesome-ai-books

Some awesome AI related books and pdfs for learning and downloading

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

collect-serverinfo

PowerShell script to collect information about Windows servers

cpp-cheat

C, C++, POSIX and Linux system programming minimal examples. Asserts used wherever possible. Hello worlds for cool third party libraries and build systems. Cheatsheets, tutorials and mini-projects.

data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-experiments

Notes and experiments to understand deep learning concepts

emailzab

finalpresentation

foolbox

Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …

handmovementtracking

head_first_series_books

This Repo contain Head First series eBook.

intro-to-vue-3

Code for Vue Mastery's Intro to Vue 3 course:

lambdafrorum

latexbeamertemplateupb

This is a suggestion for using the Paderborn University corperated design in LaTeX-Beamer.

logback-with-springboot-config

Tutorial on configuring Logback with Spring Boot

machine-learning-numpy

Code Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more.

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

mailzab

matplotlib-tutorial

Matplotlib tutorial for beginner

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

numpy-100

100 numpy exercises (100% complete)

phasar

A LLVM-based static analysis framework.

python

All Algorithms implemented in Python