652 Open source projects that are alternatives of or similar to Generative Evaluation Prdc

🤘 awesome-semantic-segmentation

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Research Framework for easy and efficient training of GANs based on Pytorch

Projecting images to latent space with StyleGAN2.

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

Reconstruction of three-dimensional porous media using generative adversarial neural networks

A simple command line (bash/shell) utility to estimate tasks using PERT [Program Evaluation and Review Technique]

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

Privacy-preserving generative deep neural networks support clinical data sharing

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

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

Parsing and evaluating mathematical formulas given as strings.

Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves

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Handwritten Chinese Characters Generation

PyTorch implementation of Adversarially Learned Inference (BiGAN).

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Composable GAN framework with api and user interface

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

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

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

A deep ranking network that learns to find good compositions in a photograph.

A web porting for NVlabs' StyleGAN.

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Discovering Interpretable GAN Controls [NeurIPS 2020]

Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet

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.

Multi-class confusion matrix library in Python

Empirical Evaluation on Current Neural Networks on Cloze-style Reading Comprehension

The notes for Math, Machine Learning, Deep Learning and Research papers.

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

A Tensorfflow implementation of Attend, Infer, Repeat

Pledge your respect and appreciation for contributors of all kinds to your open source project.

A library & tools to evaluate predictive language models.

Python package for the evaluation of odometry and SLAM

Voice Conversion using Cycle GAN's For Non-Parallel Data

Django-Access - the application introducing dynamic evaluation-based instance-level (row-level) access rights control for Django

Novel molecules from a reference shape!

PyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation trained on Devanagari dataset.

Generative Adversarial Networks in Keras

Tensorflow implementation of different GANs and their comparisions

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

To keep updates with VRU Grand Challenge, please use https://github.com/NExTplusplus/VidVRD-helper

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Adversarial Generation of Continuous Images [CVPR 2021]

based on https://github.com/kwj2104/CPPN-WGAN, but on chineses fonts and improved architecture

Bringing Old Photo Back to Life (CVPR 2020 oral)

Pytorch implementation of Generated Image Quality Assessment

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

C++ Implementation of PyTorch Tutorials for Everyone

Official repository of JSI-GAN (Accepted at AAAI 2020).

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This toolbox is support material for the book on CNN (http://www.convolution.network).

The codes of VAE-GAN model for 3d shape reconstruction from depth data

Expressive is a cross-platform expression parsing and evaluation framework. The cross-platform nature is achieved through compiling for .NET Standard so it will run on practically any platform.

Unsupervised learning and generative models in python/pytorch.

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation