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working on parallel wavenet
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
Synthesizing and manipulating 2048x1024 images with conditional GANs
Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013
DIP class project, implement of paper Soft Scissors: An Interactive Tool for Realtime High Quality Matting
Pretty Tensor: Fluent Networks in TensorFlow
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
This is the code for "Generative Artificial Intelligence" By Siraj Raval on Youtube
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Graph Convolutional Networks in PyTorch
Python学习
从头开始 系统化的 学习如何写Python爬虫。 Python版本 3.6
Source code (pipbook-1.0.tar.gz (269K suitable for any platform) 2013-10-22) from the book: Python in Practice, by Mark Summerfield http://www.qtrac.eu/pipbook.html
pytorch tutorial for beginners
95.16% on CIFAR10 with PyTorch
Pytorch implementation of convolutional neural network visualization techniques
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
Collection of generative models in Pytorch version.
PyTorch implementation of "Glow: Generative Flow with Invertible 1x1 Convolutions"
PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.
PyTorch for Semantic Segmentation
Implementation of "Attention is All You Need" paper
An implementation of WaveNet with fast generation
WaveNet-Vocoder implementation with pytorch
This is the Pytorch implementation of Universal Style Transfer via Feature Transforms.
A repo for code and captions for YouTube video tutorials. . .
A list of papers on Generative Adversarial (Neural) Networks
Deep Recurrent Neural Networks and LSTMs in Javascript. More generally also arbitrary expression graphs with automatic differentiation.
Reinforcement learning tutorials
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.