Pinned Repositories
accuracy-evaluation-matlab
A MATLAB implementation for calculating the accuracy metrics (Accuracy, Error Rate, Precision(micro/macro), Recall(micro/macro), Fscore(micro/macro)) for classification tasks based on the paper http://www.sciencedirect.com/science/article/pii/S0306457309000259.
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2020
awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-public-datasets
A topic-centric list of HQ open datasets. PR ☛☛☛
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
LVQ
lvq.java
PBO2024A
Python-GUI-Programming-Cookbook-Third-Edition
Python GUI Programming Cookbook, Third Edition, Published by Packt
arifmudi's Repositories
arifmudi/thank-you-github
An open letter of gratitude to GitHub
arifmudi/tf-propagation
A TensorFlow Label Propagation library
arifmudi/analyst-forecast-errors
A new approach to predicting analyst forecast errors: Do investors overweight analyst forecasts?https://www.sciencedirect.com/science/article/pii/S0304405X13000329
arifmudi/Book_recommendation_system
This repository contains code for recommendation engine. This recommendation engine is for recommending books.
arifmudi/gtc2018-numba
Numba tutorial for GTC 2018
arifmudi/h2o
For the "Practical Machine Learning with H2O" book, to be published by O'Reilly (ISBN, etc. coming soon)
arifmudi/my-wacky-analysis
Code for my Language Sciences 2017 paper: http://www.sciencedirect.com/science/article/pii/S0388000117300323
arifmudi/MATLAB_RBF
Neural Network - Radial Basis Function machine learning implementation using MATLAB
arifmudi/Augmented-Reality-for-Developers
Augmented Reality for Developers, published by Packt
arifmudi/MATLAB-for-Machine-Learning
MATLAB for Machine Learning, published by Packt
arifmudi/Radial-basis-function-NN
Predicting wind speed using Radial basis function neural network
arifmudi/twitter-hatespeech
Deep Learning models to detect hate speech in tweets
arifmudi/practical-ml-w-python
Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma
arifmudi/PIFW-kNN
A MATLAB implementation of PIFW-kNN (Nimagna Biswas, Saurajit Chakraborty, Sankha Subhra Mullick, and Swagatam Das, A Parameter Independent Fuzzy Weighted k-Nearest Neighbor Classifier, Pattern Recognition Letters, November, 2017)
arifmudi/LBP-LDP-LOOP
simple demo code of 3x3 local binary descriptors: LBP, LDP, LOOP
arifmudi/Celebrity-Face-Recognition-Dataset
Dataset of around 800k images consisting of 1100 Famous Celebrities and an Unknown class to classify unknown faces
arifmudi/deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
arifmudi/PSO-in-matlab
Particle swarm Optimization in matlab
arifmudi/accuracy-evaluation-matlab
A MATLAB implementation for calculating the accuracy metrics (Accuracy, Error Rate, Precision(micro/macro), Recall(micro/macro), Fscore(micro/macro)) for classification tasks based on the paper http://www.sciencedirect.com/science/article/pii/S0306457309000259.
arifmudi/Label-Propagation_rbf
arifmudi/Machine-Learning-Models
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
arifmudi/craftGBD
code for CUImage and CUVideo
arifmudi/biaxial-rnn-music-composition
A recurrent neural network designed to generate classical music.
arifmudi/sistem-pakar
arifmudi/LVQ
lvq.java
arifmudi/cvpr2015
arifmudi/wind-speed-prediction-radial-basis-function-neural-network
arifmudi/LBP-matlab
LBP 人脸识别 matlab实现
arifmudi/caffe-vdsr
A Caffe-based implementation of very deep convolution network for image super-resolution
arifmudi/Machine-Learning
This is the repository that follows the exercises of the book Building Machine Learning Systems with Python. It's a great book and I created a lot of cool jupyter notebooks with bugs fixed of the code.