data-preprocessing

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

Easy to use Python library of customized functions for cleaning and analyzing data.

convtools is a python library to declaratively define conversions for processing collections, doing complex aggregations and joins.

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

Social Media Mining Toolkit (SMMT) main repository

Deep learning GUI frame work for enterprise

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

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

Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby

A time series signal analysis and classification framework

The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.

sciblox - Easier Data Science and Machine Learning

“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.

REPO MOVED TO https://repetere.github.io/jsonm-data - Data Science and Machine learning in JavaScript

DTCleaner: data cleaning using multi-target decision trees.

Flow-based data pre-processing for deep learning

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

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.

Learn2Clean: Optimizing the Sequence of Tasks for Data Preparation and Cleaning

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

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

GWAS summary statistics files QC tool

This is an AI Series where we will cover Machine Learning and Deep Learning topics from the very basics.

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.

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.