710 Open source projects that are alternatives of or similar to py-msa-kdenlive

Local image generation using VQGAN-CLIP or CLIP guided diffusion

A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)

StyleGAN Encoder - converts real images to latent space

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

An R package for making generative art using 'ggplot2'.

Generative Art Synthesizer - a python program that generates python programs that generates generative art

OpenMMLab Image and Video Editing Toolbox

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MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

Personal Generative Art Projects

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

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

Unsupervised anomaly detection with generative model, keras implementation

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

Assessing Generative Models via Precision and Recall (official repository)

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

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

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

30 Days GANs Paper Reading

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

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

Conditional out-of-distribution prediction

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

A system of 3 programs that collects clips automatically from Twitch, lets you edit videos and combine clips, and puts them together into a compilation video ready to be uploaded straight to any social media platform. Full VPS support is provided, along with an accounts system so multiple users can use the bot at once.

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

🌈🎨 Generative Art is the idea realized as genetic code of artificial events, as construction of dynamic complex systems able to generate endless variations. This is also a nuxt-module (@luxdamore/nuxt-canvas-sketch) - [three.js, tensorflow.js and gsap are not included].

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

Takes JSON files exported from CS:GO Demos Manager and spits out readable highlights meant as helpful filenames for fragmovie recording.

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

Processingによるアート作品をまとめたリポジトリです．一部の作品はopenFrameworksで書かれています．This is a repository for art portfolio of Processing art. Some of arts are written in openFrameworks, one of the C++ libraries.

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

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

I wanted to make a nicer sticker for Munihac, then things got out of hand.

The implementation of Relativistic average GAN with Keras

Variants of Vision Transformer and its downstream tasks

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

No description or website provided.

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

A Swift framework for working with Final Cut Pro X FCPXML files easily.

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

Generative Adversarial Networks and Autoencoders for 3D Shapes

Neural Relation Understanding: neural cardinality estimators for tabular data

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

Tensorflow implementation of PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

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

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

CVPR 2022 HFGI: High-Fidelity GAN Inversion for Image Attribute Editing

InstaGAN: Instance-aware Image Translation (ICLR 2019)

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

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

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

Generate image from text with Generative Adversarial Network

Software that can autocomplete sketches as the user starts drawing.

A PyTorch implementation for StyleGAN with full features.

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

Personalized Fashion Recommendation and Generation

🎎 InfoGAN: Interpretable Representation Learning