End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

A simpler way of reading and augmenting image segmentation data into TensorFlow

Deep learning GUI frame work for enterprise

SEGAN pytorch implementation https://arxiv.org/abs/1703.09452

Social Media Mining Toolkit (SMMT) main repository

sciblox - Easier Data Science and Machine Learning

I will update this repository to learn Machine learning with python with statistics content and materials

“Data science” is just about as broad of a term as they come. It may be easiest to describe what it is by listing its more concrete components: Data exploration & analysis. Included here: Pandas; NumPy; SciPy; a helping hand from Python's Standard Library.

DTCleaner: data cleaning using multi-target decision trees.

A time series signal analysis and classification framework

Data Science and Machine learning in JavaScript

Flow-based data pre-processing for deep learning

Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset

Data preparation for data science projects.

Pipeline module for parallel real-time data processing for machine learning models development and production purposes.

A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.

A lightweight data processing framework for Apache Spark

Datasets and Codes for the ML Series

A command-line utility program for automating the trivial, frequently occurring data preparation tasks: missing value interpolation, outlier removal, and encoding categorical variables.

Aim is to come up with a job recommender system, which takes the skills from LinkedIn and jobs from Indeed and throws the best jobs available for you according to your skills.

Extract mfcc vectors and phones from TIMIT dataset

My MSc on Data Science final project. This is a library for Data Pre-processing Algorithms for Streaming in Flink (DPASF)

This is a project based on Data Science Bowl 2017. I did my best to propose a solution for the problem but I am still new to Deep Learning so my solution is not the optimal one but it can definitely be improved with some fine tuning and better resources.

A python package built for data scientist/analysts, AI/ML engineers for exploring features of a dataset in minimal number of lines of code for quick analysis before data wrangling and feature extraction.

A command line tool for preprocessing, manipulating and serializing font files for deep learning applications.

Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..

SAU Makine Öğrenmesi Eğitim İçerikleri