This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

✭ 90

python shell deep-learning neural-network speech impulse-response generative-adversarial-network automatic-speech-recognition rir augmentation acoustics room-impulse-response synthetic-data conditional-generation diffuse-scattering implicit-neural-representation

Generative Continual Learning

No description or website provided.

✭ 51

python shell pytorch generative-adversarial-network incremental-learning variational-autoencoder generative-models continuous-learning lifelong-learning continual-learning

Anime2Sketch

A sketch extractor for anime/illustration.

✭ 1,623

python Dockerfile Makefile computer-vision deep-learning anime sketch comic manga pytorch generative-adversarial-network gan image-generation gans gradio wacv

Generative MLZSL

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

✭ 37

python shell pytorch generative-adversarial-network multi-label-classification vaegan self-attention pytorch-implementation zero-shot-detection gzsl zsl clswgan zero-shot-classification multi-label-zsl

MultiGraphGAN

MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.

✭ 16

python generative-adversarial-network gan graph-generation brain-connectivity predictive-learning geometric-deep-learning multimodal-deep-learning multi-view-learning brain-graphs predictive-intelligence source-graph target-graph morphological-brain-networks

publications-arruda-ijcnn-2019

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

✭ 59

python generative-adversarial-network faster-rcnn object-detection cyclegan unsupervised-domain-adaptation

pytorch-gans

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

✭ 21

Jupyter Notebook python pytorch generative-adversarial-network dcgan gans pix2pix super-resolution cyclegan superresolution pytorch-implementation gan-models

market risk gan tensorflow

Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.

✭ 63

python r finance data-science machine-learning deep-learning tensorflow risk keras generative-adversarial-network financial-services market-risk bigan market-risk-management

deep-blueberry

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

✭ 17

machine-learning deep-neural-networks reinforcement-learning computer-vision deep-learning machine-learning-algorithms deep-reinforcement-learning recurrent-neural-networks generative-adversarial-network deep-learning-algorithms convolutional-neural-networks deep-learning-tutorial keras-tensorflow variational-autoencoder pytorch-tutorial long-short-term-memory pytorch-implementation

CycleGAN-gluon-mxnet

this repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation

✭ 31

python computer-vision mxnet computer-graphics generative-adversarial-network gan gluon cyclegan iccv-2017

mtss-gan

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

✭ 77

finance time-series simulation generative-adversarial-network stress-test similarity-measures multivariate-data model-validation synthetic-data multivariate-timeseries synthetic-dataset-generation adverserial

precision-recall-distributions

Assessing Generative Models via Precision and Recall (official repository)

✭ 80

python evaluation generative-adversarial-network gan vae adversarial-networks evaluation-metrics variational-autoencoder generative-models

30-Days-GANs-Paper-Reading

30 Days GANs Paper Reading

✭ 41

deep-learning pytorch generative-adversarial-network gan paperreading annotated-research-papers

SpareNet

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

✭ 118

python Cuda C++shell deep-learning neural-network point-cloud generative-adversarial-network point-cloud-completion differentiable-renderer

StyleGAN demo

The re-implementation of style-based generator idea

✭ 22

python generative-adversarial-network style-transfer adain

pix2pix.pytorch

A pytorch implementation of "Image-to-Image Translation with Conditional Adversarial Networks"

✭ 34

python pytorch generative-adversarial-network gan pix2pix

PTI

Official Implementation for "Pivotal Tuning for Latent-based editing of Real Images" (ACM TOG 2022) https://arxiv.org/abs/2106.05744

✭ 523

Jupyter Notebook python image-editing generative-adversarial-network stylegan stylegan2-ada-pytorch gan-inversion

GAN-Q-Learning

Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874

✭ 42

python reinforcement-learning qlearning deep-learning neural-network generative-adversarial-network gan-dqn

f anogan pytorch

Code for reproducing f-AnoGAN in Pytorch

✭ 28

python shell generative-adversarial-network outlier-detection anomaly-detection

pytorch integrated cell

Integrated Cell project implemented in pytorch

✭ 40

python machine-learning pytorch generative-adversarial-network neural-networks autoencoder science-research cell-analysis cell-biology

awesome-gan

A collection of AWESOME things about GAN

✭ 42

deep-learning generative-adversarial-network gan image-translation

Fast-AgingGAN

A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs

✭ 133

python neural-network cnn pytorch generative-adversarial-network gan tensorboard faceapp cycle-gan face-aging pytorch-lightning realtime-face-aging

3dgan-chainer

📦 A Chainer implementation of 3D Generative Adversarial Network.

✭ 25

python deep-learning chainer generative-adversarial-network gan arxiv 3d

ConvolutionaNeuralNetworksToEnhanceCodedSpeech

In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral d…

✭ 25