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Name: Qinlong Wang
Type: User
Company: Microsoft
Location: Suzhou
Name: Qinlong Wang
Type: User
Company: Microsoft
Location: Suzhou
It is a test repository from windows 10 pycharm IDE
PyMC version 3 (PyMC 2 is in branch 2.3)
All Algorithms implemented in Python
A python library for implementing a recommender system
pairwise learning to rank with logistic regression
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A collection of snippets for modeling user interest in Wikipedia
Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning
Sequence to Sequence Learning with Keras
Additional Sequence to Sequence Features for TensorFlow
implementation of http://arxiv.org/pdf/1511.06391v4.pdf in keras
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
:dango: SeqGAN implementation for generating text using an RNN.
Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).
Training RNNs as fast as CNNs. An unofficial tensorflow implementation.
Open source software library for numerical computation using data flow graphs.
TensorFlow tutorials and code examples for beginners
A best practice for tensorflow project template architecture.
Simple tutorials using Google's TensorFlow Framework
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
谷歌全新开源人工智能系统TensorFlow官方文档中文版
From the basics to slightly more interesting applications of Tensorflow
Implementation of Newest RNN and Seq2Seq Features
The experiment result of LSTM language models on PTB (Penn Treebank) and GBW (Google Billion Word) using AdaptiveSoftmax on TensorFlow.
Small test on how to train->freeze->quantize->import frozen, quantized graph and run inference
Language Modeling with RNN using TensorFlow
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
Experiments recreating the Neural Machine Translation experiments with bidirectional encoder and attention modules.
A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
A starter agent that can solve a number of universe environments.
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.