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Name: Namshik Kim
Type: User
Location: Vancouver
Name: Namshik Kim
Type: User
Location: Vancouver
Acapella Extraction with a ConvNet
A python tutorial on bayesian modeling techniques (PyMC3)
Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
A CNN for music genre classification and TSC in general
COVID-19 SIR model estimation
code for Data Science From Scratch book
A Tensorflow Implementation of "Deep Convolutional Generative Adversarial Networks" - (EASY to READ)
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
The original code from the DeepMind article + my tweaks
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
This is a very basic DQN implementation, which uses OpenAI's gym environment and Keras/Theano neural networks.
Tensorflow tutorial of building different dynamic recurrent neural network
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
Automated music genre classification using machine learning
[REPO] Music Genre classification on GTZAN dataset using CNNs
Holistically-Nested Edge Detection
Code for the Kaggle Ensembling Guide Article on MLWave
: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.
A collection of small extensions to Keras (RBM, momentum schedule, ..)
Python code for Machine Learning course from Coursera
Code samples for my book "Neural Networks and Deep Learning"
Tutorial on scikit-learn and IPython for parallel machine learning
A path-integral quantum Monte Carlo code for simulating quantum annealing with arbitrary Ising Hamiltonians.
Probabilistic Modeling Toolkit for Matlab/Octave.
Torch implementation of "PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION"
Progressive Growing of GANs for Improved Quality, Stability, and Variation
PyMC: Bayesian Stochastic Modelling in Python (for PyMC3: https://github.com/pymc-devs/pymc3)
Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.