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CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Generate text captions for images from their embeddings.
Compare GAN code.
For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.
Learning Deep Representations of Fine-grained Visual Descriptions
Double Discriminator GAN
:satellite: All You Need to Know About Deep Learning - A kick-starter
DualGAN-tensorflow: tensorflow implementation of DualGAN
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
starter from "How to Train a GAN?" at NIPS2016
Curated list of awesome GAN applications and demo
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Generative Adversarial Text-to-Image Synthesis
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
Code for the paper "Improved Techniques for Training GANs"
Inception Score for GANs in Pytorch
Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"
Personal Voice Assistant made with Python and has a cool looking GUI
The full collection of all codes for my Youtube Channel segregated as per topic.
An open source implementation of CLIP.
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)
Starting with deep learning and PyTorch
PyTorch implementations of Generative Adversarial Networks.
Collection of generative models in Pytorch version.
SD2GAN: A Siamese Dual Discriminator Generative Adversarial Network for Mode Collapse Reduction
One-shot Siamese Neural Network, using TensorFlow 2.0, based on the work presented by Gregory Koch, Richard Zemel, and Ruslan Salakhutdinov. we used the “Labeled Faces in the Wild” dataset with over 5,700 different people. Some people have a single image, while others have dozens.
Implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.