iGAN: Interactive Image Generation via Generative Adversarial Networks
Pytorch version of Unsupervised Learning of Depth and Ego-Motion from Video
Hierarchical Attention Networks for Document Classification in PyTorch
Convolutional Neural Networks
Tensorflow Faster RCNN for Object Detection
Graph Convolutional Networks in PyTorch
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.
An unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training
A tensorflow implementation of Deep Convolutional Generative Adversarial Networks
Pytorch implementation of deep person re-identification approaches.
Faster R-CNN Python implementation
Code for Densely Connected Convolutional Networks (DenseNets)
End-to-end guide design for CRISPR/Cas9 with machine learning
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
PyTorch version of Google AI's BERT model with script to load Google's pre-trained models
An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Uniform Manifold Approximation and Projection
CNN for Human Activity Recognition in Tensorflow
An efficient multi-scale training approach for instance-level recognition tasks like object detection and instance-level segmentation
A new method of pre-training language representations which obtains state-of-the-art results on a wide array of Natural Language Processing (NLP) tasks.
Phrase-Based & Neural Unsupervised Machine Translation
PyTorch implementation of "Progressive growing of GANs (PGGAN)"
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes
Lua/Torch implementation of DQN (Nature, 2015)
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
Image-to-image translation using conditional adversarial nets