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3d-machine-learning

A resource repository for 3D machine learning

arabiccompetitiveprogramming

The repository will contain the description files attached to the video series in my algorithms channel.

awesome-math

A curated list of awesome mathematics resources

b31xb-iip-tp-1718

b31xb-si-1819-intro

bsc

bscv

bscv1617eisc2

bscv1617ielabs01

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

deep-image-prior

Image restoration with neural networks but without learning.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

dmdtools

A library of tools for computing variants of Dynamic Mode Decomposition

ipython-notebooks

A collection of IPython notebooks covering various topics.

jupyter

Jupyter metapackage for installation, docs and chat

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras-tcn

Keras Temporal Convolutional Network.

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

matplotlib-tutorial

Matplotlib tutorial for beginner

medical-data

mit_ocw_linear_algebra_18_06

IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)

ml-from-scratch

Python implementations of Machine Learning models and algorithms from scratch. Aims to cover everything from Data Mining techniques to Deep Learning.

numerical-mooc

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

pca-face-recognition

phantomx_arm

Phantomx pincher arm package

phantomx_rst

Some configuration files and launch files for the phantomx robot at RST (ROS)

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

py-vision

pytorch-deep-learning

Deep Learning (with PyTorch)