1120 Open source projects that are alternatives of or similar to Marta Gan

Unsupervised Video Retargeting (e.g. face to face, flower to flower, clouds and winds, sunrise and sunset)

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

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

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Listing my favorite research papers 📝 from different fields as I read them.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Paper notes in deep learning/machine learning and computer vision

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Machine Learning (EE 5184) in NTU

Composable GAN framework with api and user interface

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.

Deep learning codes and projects using Python

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

Deep Metric Transfer for Label Propagation with Limited Annotated Data

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

A stable algorithm for GAN training

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Image-to-image translation with conditional adversarial nets

An implementation of CycleGan using TensorFlow

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

Conditional GAN for Anime face generation.

Pix2Pix Image translation using conditional generative adversarial network - sketch to face

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

Trial on kaggle imagenet object localization by yolo v3 in google cloud

📜 Self-Supervised Learning from Images: Up-to-date reading list.

A large-scale face dataset for face parsing, recognition, generation and editing.

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

Train a TensorFlow model on Kubernetes to recognize art culture based on the collection from the Metropolitan Museum of Art

Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation

code for unsupervised learning Neural Hidden Markov Models paper

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"

✅ CODAR is a Framework built using PyTorch to analyze post (Text+Media) and predict Cyber Bullying and offensive content. 💬📷

To transform, project, visualize, and read Digital Elevation Models (ASTERGDEMv2.0 and EUDEMv1.1). [简单实用] 数字高程模型的变换、投影、可视化和读取。

This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Tool to download Sentinel images from PEPS sentinel mirror site : https://peps.cnes.fr

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

Unsupervised Learning for Image Registration

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

PHP-ML - Machine Learning library for PHP

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

An AI based application to identify currency and gives audio feedback.