526 Open source projects that are alternatives of or similar to Pixeldtgan

Visualizer for neural network, deep learning, and machine learning models

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Advanced Deep Learning with Keras, published by Packt

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

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Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

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TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

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

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks

Awesome paper list with code about generative adversarial nets

DCT (discrete cosine transform) functions for pytorch

Setup and customize deep learning environment in seconds.

Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Spatio-Temporal Action Localization System

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PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

Speech Enhancement Generative Adversarial Network in TensorFlow

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

🖼 Create artwork from your casual sketch with GAN and style transfer

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

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