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Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Code to reproduce "imagenet in 18 minutes" DAWN-benchmark entry
Instructions on how to setup an ethereum private network
tensorflow port of the lda2vec model for unsupervised learning of document + topic + word embeddings
A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
Minimal live-editing example for React
🔐 Learn how to use JSON Web Token (JWT) to secure your next Web App! (Tutorial/Example with Tests!!)
Boltzmann Machines in TensorFlow with examples
A toolkit for making real world machine learning and data analysis applications in C++
A TensorFlow implementation of DeepMind's WaveNet paper
Representation learning on large graphs using stochastic graph convolutions.
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
Python library for distributed AI processing pipelines, using swappable scheduler backends.
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
scikit-learn wrappers for Python fastText.
Testing framework to simplify writing ML unit tests.
YOLOv2 Object Detection w/ Keras (in just 20 lines of code)
Tensorforce: a TensorFlow library for applied reinforcement learning