Awesome Machine Learning On Source Code
Interesting links & research papers related to Machine Learning applied to source code
TensorFlow World Resources
The purpose of this project is to introduce a shortcut to developers and researcher for finding useful resources about TensorFlow.
Deep Learning with Cats
Deep learning with cats (^._.^)
Image Captioning using InceptionV3 and beam search
Aerial Crack Detection with Caffe
Detect and recognize the aerial pavament crack using Caffe.
JupyShare lets you release your notebook to the cloud and gives you a public endpoint for it through ngrok
Visualizations for machine learning datasets
Reverse Connection with Objectness Prior Networks for Object Detection, CVPR 2017
Sentence embeddings (InferSent) and training code for NLI.
Project which implements extraction of data from scatter plots
Fast Weighted Alternating Least Squares for collaborative filtering and topic modeling
A proof-of-concept for Bug-free machine learning on stochastic computation graphs
AMD’s Machine Intelligence Library
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