495 Open source projects that are alternatives of or similar to Long-Tail-GAN

My pytorch implementation for GAN

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

Material de la charla "The bad guys in AI - atacando sistemas de machine learning"

An index of recommendation algorithms that are based on Graph Neural Networks.

🛍️RetailBox - eCommerce Recommender System using Machine Learning

No description or website provided.

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

Some common recommendation system baseline, with description and link.

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

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

PyTorch study

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

Tensorflow-based framework to ease training of generative models

Pytorch implementation of BERT4Rec and Netflix VAE.

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

CycleGAN based neural network architecture to change the gender of a person’s face

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

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

Path Planning using Generative Adversarial Network (GAN)

The Web IR / NLP Group (WING)'s public reading group at the National University of Singapore.

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

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

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

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

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

Repository for MAD-GAN Paper done in ML CAMP Jeju

🤖A list of resources to help anyone getting started with GANs 🤖

Benchmarking synthetic data generation methods.

Unofficial pytorch implementation of algorithms for domain adaptation

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"

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

Tensorflow Implementation of DiscoGAN

Two-stage GANs that generate fingerstyle guitarist images from audio.

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

a data science blog

StyleGAN Encoder - converts real images to latent space

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

ECNU ICA seminar materials

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

my own deep learning mastery roadmap

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

Designed to take you from zero experience to GANs within a week.

🐳 GAN implemented as Tensorflow 2.X

Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow

Pure tensorflow implementation of progressive growing of GANs

🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.

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

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

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

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

No description or website provided.

A curated list of awesome graph & self-supervised-learning-based recommendation.

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

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

This repository contains a new adversarial training method for Generative Conversational Agents

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

recommender system tutorial with Python