Pinned Repositories
Badminton-Stroke-Classification
Classifying badminton strokes based on accelorometer and gyroscope sensor data attached to player's wrist. An end-to-end Machine Learning project, from data collection and preprocessing to final model evaluation.
charLSTM
Pytorch implementation of character level LSTM for generating text, trained on Mark Twain's books.
CodeChef-Solutions
Solutions to some awesome problems from codechef.
Gibbs-Sampling-Visualized
Visualization of Gibbs sampling for 2D Gaussian distribution
GMM-EM-Python
Python implementation of EM algorithm for GMM. And visualization for 2D case.
K-Means
A simple visualization of K-Means algorithm in 2D
process_scheduling
A project on comparison of different types of CPU process scheduling.
Restricted-Boltzmann-Machine
Python implementation of Restricted Boltzmann Machine (RBM). And an example on MNIST dataset.
SpaceDrift
An android game created in Android Studio.
streaming_indicators
A python library for computing technical analysis indicators on streaming data.
mr-easy's Repositories
mr-easy/streaming_indicators
A python library for computing technical analysis indicators on streaming data.
mr-easy/GMM-EM-Python
Python implementation of EM algorithm for GMM. And visualization for 2D case.
mr-easy/Gibbs-Sampling-Visualized
Visualization of Gibbs sampling for 2D Gaussian distribution
mr-easy/Badminton-Stroke-Classification
Classifying badminton strokes based on accelorometer and gyroscope sensor data attached to player's wrist. An end-to-end Machine Learning project, from data collection and preprocessing to final model evaluation.
mr-easy/Restricted-Boltzmann-Machine
Python implementation of Restricted Boltzmann Machine (RBM). And an example on MNIST dataset.
mr-easy/charLSTM
Pytorch implementation of character level LSTM for generating text, trained on Mark Twain's books.
mr-easy/CodeChef-Solutions
Solutions to some awesome problems from codechef.
mr-easy/K-Means
A simple visualization of K-Means algorithm in 2D
mr-easy/SpaceDrift
An android game created in Android Studio.
mr-easy/telegram-logging
mr-easy/cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
mr-easy/DL_Project_1
Deep Learning Course Project - 1. FizzBuzz Program.
mr-easy/DL_Project_2
Deep Learning Project 2
mr-easy/DL_Project_3
Deep Learning Project 3
mr-easy/mr-easy.github.io
My personal website.
mr-easy/Android-Filter-Search
mr-easy/awesome-community-detection
A curated list of community detection research papers with implementations.
mr-easy/bayesian-methods-for-ml
My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)
mr-easy/chargrid-pytorch
Pytorch Implementation of Chargrid Paper (https://arxiv.org/abs/1809.08799)
mr-easy/charting-library
mr-easy/CLRS
:notebook:Solutions to Introduction to Algorithms
mr-easy/DirtyDocuments
mr-easy/implemetation_algorithms
Here is implementation of all basic algorithms in computer science.
mr-easy/markdown
A Python implementation of John Gruber’s Markdown with Extension support.
mr-easy/mr-easy
mr-easy/pdfjs-dist
Generic build of PDF.js library.
mr-easy/PyTorch-CycleGAN
A clean and readable Pytorch implementation of CycleGAN
mr-easy/svinet
This package implements algorithms for identifying overlapping communities in large undirected networks. The sampling based algorithms derive from stochastic variational inference under the (assortative) mixed-membership stochastic blockmodel. For details see the following reference: http://www.pnas.org/content/early/2013/08/14/1221839110.full.pdf
mr-easy/Tagging
Build-Tool to automatic increase the version and create a tag in the remote VCS repository.
mr-easy/three.js
JavaScript 3D library.