747 Open source projects that are alternatives of or similar to ganbert

Training a MNIST classifier, and use it to compute inception score (ICP)

Image-to-Image Translation in PyTorch

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

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

An AI for Music Generation

On the "steerability" of generative adversarial networks

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

Generating Videos with Scene Dynamics. NIPS 2016.

Dialogue Knowledge Transfer Networks (DiKTNet)

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

吹逼我们是认真的

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

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.

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

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

Awesome Generative Adversarial Networks with tensorflow

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

Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/1807.11407)

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

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

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

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!

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Coherent Semantic Attention for image inpainting(ICCV 2019)

Laplacian Regularized Few Shot Learning

Paper notes in deep learning/machine learning and computer vision

[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

T2F: text to face generation using Deep Learning

A collection of arbitrary text to image papers with code (constantly updating)

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A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Deep learning codes and projects using Python

由淺入深的深度學習資源 Collection of deep learning materials for everyone

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

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf

Official TP-GAN Tensorflow implementation for paper "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis"

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

Solve captcha without manually labeling a training set

A stable algorithm for GAN training

Interactive Image Generation via Generative Adversarial Networks

특허분야 특화된 한국어 AI언어모델 KorPatBERT

GAAL-based Outlier Detection

LibFewShot: A Comprehensive Library for Few-shot Learning.

Spectral Normalization for Keras Dense and Convolution Layers

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Code for GAN2Shape (ICLR2021 oral)

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

2019搜狐校园算法大赛