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Development fork from kypp/anttweakbar. Unless I have changes kypp hasn't merged yet, his is the canonical copy.
Official mirror of Blender
Blockwise Multi-Order Feature Regression for Real-Time Path Tracing Reconstruction
Modified Caffe for Deep Shading.
《剑指Offer》第二版源代码(Clone from: https://github.com/zhedahht/CodingInterviewChinese2)
My implementations of cs231n 2017
A new QR decomposition algorithm implemented in CUDA
DCGAN and WGAN implementation on Keras for Bird Generation
Code and examples from our paper "Deep Illumination: Approximating Dynamic Global Illumination with Generative Adversarial Networks," by Manu Mathew Thomas and Angus Forbes
The deeplearning algorithms implemented by tensorflow
Image classification using CNN and DBN
Introduction of usage deep learning service of huawei cloud
Non-Local means denoising (NLM) algorithm is a milestone algorithm in the field of image processing. The proposal of NLM has opened up the non-local method which has a deep influence. This paper performed a revisit for NLM from two aspects as follows: 1. To alleviate the high computational complexity problem of NLM, a fast algorithm was constructed, which was based on cross-correlation and fast Fourier transform; 2. NLM always blur structures and textures during the noise removal, especially in the case of strong noise. To solve this problem, an Asymptotic Non-Local Means image denoising algorithm is put forward, which uses the property of noise variance to control the filtering parameters. Numerical experiments illustrate that the fast algorithm is 27 times faster than classical implementation with standard parameter configuration, and the ANLM uniformly outperforms classical NLM, in terms of both PSNR and visual effects.
This repository implements all kinds of GAN-models based on tensorflow2.0 keras API including GAN, CGAN, WGAN, WGAN_GP, VAE, CVAE, LSGAN, infoGAN, EBGAN, BEGAN, ACGAN
GANs Implementations in Keras
Keras implementations of Generative Adversarial Networks. GAN, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
OpenGL Mathematics (GLM)
glTF – Runtime 3D Asset Delivery
glTF Sample Models
my dx12 playground
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.
Residual networks implementation using Keras-1.0 functional API
Neural Denoising with Layer Embeddings
Lighthouse 2 framework for real-time ray tracing
RNN classifier built with Keras to classify MNIST dataset
Music genre classification with LSTM Recurrent Neural Nets
my machine-learning tutorial
A minimal implementation of Wasserstein GAN
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.