405 Open source projects that are alternatives of or similar to SSVEP-Neural-Generative-Models

Implementation of Conditional Generative Adversarial Networks in PyTorch

A sketch extractor for anime/illustration.

3D-aware GANs based on NeRF (arXiv).

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

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

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

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A convolutional neural network developed in python using the Keras machine learning framework used to categorize brain signal based on what a user was looking at when the EEG data was collected.

Path Planning using Generative Adversarial Network (GAN)

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Generative Adversarial Networks in TensorFlow 2.0

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

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.

This is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"

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

No description or website provided.

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!

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

30 Days GANs Paper Reading

Performance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)

SSVEP-based BCI recording of 12 subjects operating an upper limb exoskeleton during a shared control task. The exoskeleton is either controlled with a touchless interface detecting hand poses or with BCI.

A package for manipulating EEG data in R.

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

My pytorch implementation for GAN

SMILE: Semantically-guided Multi-attribute Image and Layout Editing, ICCV Workshops 2021.

🐳 GAN implemented as Tensorflow 2.X

Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"

Benchmarking synthetic data generation methods.

[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

Pure tensorflow implementation of progressive growing of GANs

Paper notes in deep learning/machine learning and computer vision

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

Tensorflow implementation of paper "unsupervised image to image translation networks"

No description or website provided.

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

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

Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”

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

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

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

PyTorch study

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

Tensorflow-based framework to ease training of generative models

Assessing Generative Models via Precision and Recall (official repository)

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

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

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Improving MMD-GAN training with repulsive loss function

Synthetic Data Generation for mixed-type, multivariate time series.

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

Tensorflow Implementation of DiscoGAN

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A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field