Muharrem Okutan's Projects
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
A python library for easy manipulation and forecasting of time series.
:bar_chart: Path to a free self-taught education in Data Science!
Cheat Sheets
Data Science at the Command Line
A curated list of data science blogs
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Stunningly beautiful photos and images from around the wed
Blazegraph High Performance Graph Database
Connect processes into powerful data pipelines with a simple git-like filesystem interface
CI state for DataKit CI
Curated list of Python resources for data science.
http://DataScienceSpecialization.github.io
This project is to train the very first steps of datsascience
Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.
Free universal database manager and SQL client
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
Digest, stat, and copy files from one location to another in the same read pass
Docker Datacenter OpenControl Component Controls
Distributed Evolutionary Algorithms in Python
Flexible and Extensible Machine Learning in Ruby
The source code of "Deep Exemplar-based Colorization".
Image restoration with neural networks but without learning.
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
Algorithmic trading with deep learning experiments