falconzyx,YOLO,github

master-thesis-bayesiancnn

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

mastering-ml-w-python-in-six-steps

Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan

material-resume

:black_nib: A fancy resume template

mathsdl-spring18

Topics course Mathematics of Deep Learning, NYU, Spring 18

matlab2tikz

This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.

megalodon

Various ML/DL Resources organised at a single place.

milewski-ctfp-pdf

Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml

李航《统计学习方法》中机器学习模型的LaTeX公式笔记

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

ml-from-scratch

Bare bones Python implementations of some of the fundamental Machine Learning models and algorithms.

ml-training-intro

Materials for the "Introduction to Machine Learning" class

ml-workshop-1-of-4

Introduction to Machine learning with Python, 4h interactive workshop

ml-workshop-2-of-4

Intermediate Machine Learning with Scikit-learn, 4h interactive workshop

ml-workshop-3-of-4

Advanced Machine Learning with Scikit-learn part I

ml-workshop-4-of-4

Advanced Machine Learning with Scikit-learn part II

ml_board

a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout the training process