maverik-akagami Goto Github PK

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

awesome-courses

:books: List of awesome university courses for learning Computer Science!

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-etl

A curated list of awesome ETL frameworks, libraries, and software.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

chi-data-learnathon-2015

workshop on data viz for the Chicago Data Learnathon

citydigital-programming-basics

CityDigital - basics of coding

cnn_project1

Convolutional Neural Networks - first trial

courses

fast.ai Courses

cs-525

FIRST

cs-585-nlp

Main course repository for CS585: NLP at IIT

cssgram

CSS library for Instagram filters

data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

datascienceresources

Open Source Data Science Resources.

deep-learning-workshop

deeplearningbook

MIT Deep Learning Book in PDF format

deeppy

Deep learning in Python

dlaicourse

Notebooks for learning deep learning

fasttext

Library for fast text representation and classification.

final-year-project-undergrad

this is a guide to my final year project in my undergrad

flask_jsondash

:snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.

folium

Python Data. Leaflet.js Maps.

free-data-science-books

Free resources for learning data science

gail_dev

GAIL is a suite of algorithms for integration problems in one, many, and infinite dimensions, and whose answers are guaranteed to be correct. GAIL is created, developed, and maintained by Fred Hickernell (Illinois Institute of Technology), Sou-Cheng Choi (University of Chicago and Argonne National Laboratory), and their collaborators including Yuhan Ding (IIT), Lan Jiang (IIT), and Yizhi Zhang (IIT).

hadoop

Mirror of Apache Hadoop

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hibench

HiBench is a big data benchmark suite.

ibmspark