Runway: Machine Learning for Everyone
A desktop application that allows to easily run state of the art machine learning models and use them in creative and interactive ways.
Which of the Hollywood stars is most similar to my voice?
A deep neural network for finding text-independent speaker embedding written in tensorflow and tensorpack
Deploy Keras Model with Flask as Web App
Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
Deep Learning Programming Language Detection
Deep Learning using Keras to detect programming language of a file or snippet
Network exploit detection using highly accurate pre-trained deep neural networks with Celery + Keras + Tensorflow + Redis
Awesome Transfer Learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Awesome Action Recognition
A curated list of action recognition and related area (e.g. object recognition, pose estimation) resources.
Selected papers, corresponding codes and pre-trained models in a review paper.
Train a neural network optimized for generating tweets based off of any number of Twitter users.
Tools to work with the big reddit JSON data dump.
Helper functions to create COCO datasets
Python libraries for Google Colaboratory
Computes features for images using various pretrained Tensorflow models
Tcl extension embedding “R” Project for Statistical Computing (librtcl)
A sklearn implementation of the machine-learning DeepSuperLearner algorithm, A Deep Ensemble method for Classification Problems.
Replication of Uber Neuroevolution paper
Equivariant CNNs for the sphere and SO(3) implemented in PyTorch
Implementation of Convolutional Neural Network for Relation Extraction with Deep Learning Approach in Tensorflow
Multimodal Unsupervised Image-to-Image Translation
Easy to use library to bring Tensorflow on Apache Spark
Probabilistic reasoning and statistical analysis in TensorFlow
A large-scale entity and relation database supporting very large graphs containing rich, aggregated properties on the nodes and edges. Several storage options are available, including Accumulo, Hbase and Parquet.
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