A mix of GAN toolbox implementations including progressive growing
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
Models built with TensorFlow
An open-source implementation of the AlphaGoZero algorithm
A pytorch implementation of faster RCNN detection framework based on Xinlei Chen's tf-faster-rcnn.
Implementation of Graph Convolutional Networks in TensorFlow
Make huge neural nets fit in memory
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Torch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
This project is a faster faster R-CNN implementation, aimed to accelerating the training of faster R-CNN object detection models
Facebook AI Research Automatic Speech Recognition Toolkit
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Face Recognition Project on MXNet
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
Facebook AI Research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Keras implementation of Deeplab v3+ with pretrained weights
A Keras implementation of YOLOv3 (Tensorflow backend)
Yet Another Darknet 2 Keras
Faster R-CNN Python implementation
Simple Tensorflow implementation of "Multimodal Unsupervised Image-to-Image Translation"
Multimodal Unsupervised Image-to-Image Translation
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
Deep Learning Head Pose Estimation using PyTorch.
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
A Deep Learning Toolkit for Computer Vision