†Awesome Network Analysis and DataScienceR directly point to Github repositories as their readme are the core contents.
Machine Learning Problem Bible
A self-driving car simulator built with Unity
Oxford Deep NLP 2017 course
Course materials for Georgia Tech CS 4650 and 7650, “Natural Language”
Awesome Network Analysis
A curated list of awesome network analysis resources
a curated list of R tutorials for Data Science, NLP and Machine Learning
Deep learning with dynamic computation graphs in TensorFlow
Real-time object detection and classification
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
library and tools for information extraction
A suite of Python tools for training neural machine translation networks using Theano
JVM-based interpreter for the R language for the statistical analysis.
R Interface to Python
Python bindings for Tulip Indicators
What if we combine Functional Programming and Deep Learning?
A Python library for incremental, in-memory map-reduces
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