521 Open source projects that are alternatives of or similar to Generative_MLZSL

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

Auxiliary Classifier Generative Adversarial Networks in Keras

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Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

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

Collection of generative models in Pytorch version.

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes

Learning kernels to maximize the power of MMD tests

Mutli-label text classification using ConvNet and graph embedding (Tensorflow implementation)

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

Stochastic Adversarial Video Prediction

Generative adversarial training for generating synthetic tabular data.

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

A DCGAN to generate anime faces using custom mined dataset

MyBB CAPTCHA Solver using Convolutional Neural Network in Keras

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

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

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

Generative Adversarial Networks and Autoencoders for 3D Shapes

Semi-supervised GAN in "Improved Techniques for Training GANs"

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

PyTorch Implementation for Neural Graph Collaborative Filtering

A PyTorch implementation for StyleGAN with full features.

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

🎎 InfoGAN: Interpretable Representation Learning

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".

Semantic Image Inpainting

A clean and lucid implementation of cycleGAN using PyTorch

Focal Frequency Loss for Generative Models

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

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

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Code for the paper "MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" (Pattern Recognition 2021)

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

Reproduce some methods in semi-supervised papers.

chainer implementation of pix2pix

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Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

Awesome GAN for Medical Imaging

LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

Rethinking Image Inpainting via a Mutual Encoder Decoder with Feature Equalizations. ECCV 2020 Oral

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400