physhik

ecg-mit-bih

ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at

Study-of-David-Mackay-s-book-

David Mackay's book review and problem solvings and own python codes, mathematica files

Python-algorithm-study

What I made while studied Problem Solving with Algorithms and Data Structures using Python Also include some solutions of exercises or quizzes

pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

3dcnn

acapellabot

Acapella Extraction with a ConvNet

BEGAN-tensorflow

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

keras-flask-deploy-webapp

:smiley_cat: Pretty&simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

COVID19-SIR

COVID-19 SIR model estimation

data-science-from-scratch

code for Data Science From Scratch book

dcgan

A Tensorflow Implementation of "Deep Convolutional Generative Adversarial Networks" - (EASY to READ)

DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

DeepMind-Atari-Deep-Q-Learner

The original code from the DeepMind article + my tweaks

Dynamic-Tensorflow-Tutorial

Tensorflow tutorial of building different dynamic recurrent neural network

genreXpose

Automated music genre classification using machine learning

gtzan.keras

[REPO] Music Genre classification on GTZAN dataset using CNNs

holy-edge

Holistically-Nested Edge Detection

parallel_ml_tutorial

Tutorial on scikit-learn and IPython for parallel machine learning

pathintegral-qmc

A path-integral quantum Monte Carlo code for simulating quantum annealing with arbitrary Ising Hamiltonians.

physhik.github.io

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

progressive-growing-torch

Torch implementation of "PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION"

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

pymc3

Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.

PythonDataScienceHandbook

Jupyter Notebooks for the Python Data Science Handbook

reinforcement-learning-car

Using reinforcement learning to teach a car to avoid obstacles.

stylish-portfolio-jekyll

A Jekyll implementation of the Stylish Portfolio template by Start Bootstrap

Turbo-Boost-Switcher

Turbo Boost disabler / enable app for Mac OS X

tutorial-extensions

Additional tasks for tutorial

UNIT