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ai_composer

AI Composer for Machine Learning for Hackers #2

android-malware-detection

The project deals with classifying android apps into benign and malignant based on the apps permissions. The model uses a decision tree classifier based on ID3 algorithm for classification.

animall-assignment

ariestoolkit

Mi2 OpenSource Pc Suite For Xiaomi Mi2(s) [aries]

attentionet

caffe

Caffe: a fast open framework for deep learning.

chitchat-thechatapplication

cohort-analysis

cosmos

[Show :heart: love by 🌟] Your personal library of every algorithm and data structure code that you will ever encounter

cpython

The Python programming language

cyclegan-tensorflow

An implementation of CycleGan using TensorFlow

gensim

Topic Modelling for Humans

gittest

Just to test

gruv

GRUV is a Python project for algorithmic music generation.

heart-disease-prediction-using-ann

The Neural Network model would be able predict the severity of heart disease in patient with the given set of attributes. The main goal is to parallelize the training phase using OpenMP to reduce the training period.

heart-disease-prediction-using-ann-2

intro-to-deep-learning-for-nlp

The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.

intruderdetectionsystem

kosha

Open Carnatic Music Database

listen-attend-and-walk

Interpreting natural language navigational instructions

listen-attend-spell

Code for converting speech data into text using encoder-decoder model.

machinelearning

magenta

Magenta: Music and Art Generation with Machine Intelligence

mushroom-app

Mushroom App

music-generation

An RNN implementation to generate music

music-recommendation-system

The main aim of the website is to provide music recommendations to users in order to guide them through the exploration process.

padmajavb.github.io

sexist-statement-detection

simplemlalgorithms

Python implementation of some of the common machine learning algorithms.

spark.samples

tutorials and samples that show you how get the most out of IBM Analytics for Apache Spark