A deep reinforcement learning competition, part of the MIT Deep Learning series.
Sentence Classifications with Neural Networks
Machine Translation from Scratch Using Pytorch
Machine Translation Reading List
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
Using Neural Style Transfer to convert an interactive painting to a masterpiece in real time.
neural network assisted fuzzer
All You Need to Know About Deep Learning – A kick-starter
turkey lets you easily create a web UI on Amazon Mechanical Turk to crowd-source image annotation data
Web-based image segmentation tool for object detection and localization
A Black Box Hyperparameters Optimization platform
A utility that unwraps Apache Cassandra’s `sstabledump` JSON array output to multiple small JSON objects
An experimental framework for building neural networks in Tensorflow, particularly sequence models.
Generative Image Inpainting with Adversarial Edge Learning
PyTorch implementation of “InstaGAN: Instance-aware Image Translation” (ICLR 2019)
A sparsity aware implementation of “Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence” (ICASSP 2014).
Trust Region Based Adversarial Attack
Keras implementation of Sketch RNN
PyTorch implementation of “DRAW: A Recurrent Neural Network For Image Generation”
The basic idea is to utilize a U-Net, modified perceptual loss (pearson instead of MAE), learned basis functions, and “mean teacher” training in order to synthesize images of high quality without the normal troubles of training a GAN.
A ground-up and standalone reimplementation of TensorFlow for ruby. Comes with a pure ruby and OpenCL opcode evaluator
A Multi-GPU Deep Learning System for Training with Small Batch Sizes