Context Encoder[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
Stars: ✭ 731 (+564.55%)
Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Stars: ✭ 134 (+21.82%)
RganRecurrent (conditional) generative adversarial networks for generating real-valued time series data.
Stars: ✭ 480 (+336.36%)
Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Stars: ✭ 748 (+580%)
Fun-with-MNISTPlaying with MNIST. Machine Learning. Generative Models.
Stars: ✭ 23 (-79.09%)
Alae[CVPR2020] Adversarial Latent Autoencoders
Stars: ✭ 3,178 (+2789.09%)
Keras DcganKeras implementation of Deep Convolutional Generative Adversarial Networks
Stars: ✭ 943 (+757.27%)
PsganPeriodic Spatial Generative Adversarial Networks
Stars: ✭ 108 (-1.82%)
Dcgan TensorflowA tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Stars: ✭ 6,963 (+6230%)
Unified Gan TensorflowA Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
Stars: ✭ 93 (-15.45%)
TpudcganTrain DCGAN with TPUs on Google Cloud
Stars: ✭ 33 (-70%)
Began TensorflowTensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
Stars: ✭ 904 (+721.82%)
Dcgan PytorchPyTorch Implementation of DCGAN trained on the CelebA dataset.
Stars: ✭ 32 (-70.91%)
Ganotebookswgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
Stars: ✭ 1,446 (+1214.55%)
Gan VisVisualization of GAN training process
Stars: ✭ 74 (-32.73%)
Sprint ganPrivacy-preserving generative deep neural networks support clinical data sharing
Stars: ✭ 92 (-16.36%)
ImagedeblurringA Keras implementation of image deblurring based on ICCV 2017 paper "Deep Generative Filter for motion deblurring"
Stars: ✭ 72 (-34.55%)
Pytorch FidCompute FID scores with PyTorch.
Stars: ✭ 1,175 (+968.18%)
EvoPython package for the evaluation of odometry and SLAM
Stars: ✭ 1,373 (+1148.18%)
SpecganSpecGAN - generate audio with adversarial training
Stars: ✭ 92 (-16.36%)
ManMultinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)
Stars: ✭ 72 (-34.55%)
GenevaCode to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"
Stars: ✭ 71 (-35.45%)
EvaluateA version of eval for R that returns more information about what happened
Stars: ✭ 88 (-20%)
DreplA REPL for D
Stars: ✭ 70 (-36.36%)
ColorizerAdd colors to black and white images with neural networks (GANs).
Stars: ✭ 69 (-37.27%)
Sequentialdata GanTensorflow Implementation of GAN modeling for sequential data
Stars: ✭ 69 (-37.27%)
Celebamask HqA large-scale face dataset for face parsing, recognition, generation and editing.
Stars: ✭ 1,156 (+950.91%)
Interpretability By PartsCode repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
Stars: ✭ 88 (-20%)
Pacgan[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
Stars: ✭ 67 (-39.09%)
EvalneSource code for EvalNE, a Python library for evaluating Network Embedding methods.
Stars: ✭ 67 (-39.09%)
ExermoteUsing Machine Learning to predict the type of exercise from movement data
Stars: ✭ 108 (-1.82%)
Lsd SegLearning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Stars: ✭ 99 (-10%)
CaloganGenerative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
Stars: ✭ 87 (-20.91%)
PertA simple command line (bash/shell) utility to estimate tasks using PERT [Program Evaluation and Review Technique]
Stars: ✭ 66 (-40%)
ExprganFacial Expression Editing with Controllable Expression Intensity
Stars: ✭ 98 (-10.91%)
PytorchPyTorch tutorials A to Z
Stars: ✭ 87 (-20.91%)
Formula ParserParsing and evaluating mathematical formulas given as strings.
Stars: ✭ 62 (-43.64%)
Matlab GanMATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
Stars: ✭ 63 (-42.73%)
Niftynet[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Stars: ✭ 1,276 (+1060%)
Tsne CudaGPU Accelerated t-SNE for CUDA with Python bindings
Stars: ✭ 1,120 (+918.18%)
Esrgan Tf2ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
Stars: ✭ 61 (-44.55%)
Dr Gan By PytorchAn implement of Disentangled Representation Learning GAN for Pose-Invariant Face Recognition
Stars: ✭ 106 (-3.64%)
TorchelieTorchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.
Stars: ✭ 98 (-10.91%)
ExprFast and lightweight math expression evaluator in C99
Stars: ✭ 61 (-44.55%)