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Implementation of the Adversarial Autoencoder which uses the Generative Adversarial Networks(GAN) to perform variational inference by matching the aggregated posterior of the encoder with an arbitrary prior distribution
A TensorLayer implementation of BiGAN (Adversarial Feature Learning).
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
A tensorflow implement for ganomaly
An Idea behind this experiment is to deal with multiple inputs and mixed data (i.e. continuous, categorical and image data). In this experiment, we are going to develop and build 2 models: 1) MLP based model , and 2) Convolutional Neural Network (CNN) based model. In the end, we are going to combine these models into a single model.
Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute
机器学习学习笔记和代码
A SP Shape Classifier that takes both image and engineered features as input
Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.
Models and examples built with TensorFlow
An implementation notebook of object detection using TensorFlow hub.
Keras Functional API for multiple inputs and mixed data
Using Keras to construct a PINN to solve the ode
Multi-input, Mixed Data NN Models for Solar Irradiance Prediction from Weather and Sky Image Data.
RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Tensorflow implementation of adversarial auto-encoder for MNIST
Tensorflow tutorial from basic to hard
🙄 difficult algorithm, simple code.
A ResNet(ResNet18, ResNet34, ResNet50, ResNet101, ResNet152) implementation using TensorFlow-2.0.
Tensorflow2 implementation of the paper GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Faster-RCNN with only one page of jupyter notebook;只用一页jupyter notebook完成Faster RCNN
Everything about Transfer Learning and Domain Adaptation--迁移学习
WaveGAN: Learn to synthesize raw audio with generative adversarial networks
Transfer Learning Library
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.