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The implementation of paper https://arxiv.org/abs/1704.07556, ACL 2017
Caffe: a fast open framework for deep learning.
Caffe2 is a lightweight, modular, and scalable deep learning framework.
EMNLP2015_code_Long Short-Term Memory Neural Networks for Chinese Word Segmentation
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
Code for EACL '17 paper "Identifying beneficial task relations for multi-task learning in deep neural networks"
Multivariate imputation and matrix completion algorithms implemented in Python
Gaussian processes in TensorFlow
Bayesian Optimization using GPflow
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Distributed Asynchronous Hyperparameter Optimization in Python
Hyper-parameter optimization for sklearn
A MATLAB interface for L-BFGS-B
Implementation of reinforcement learning approach to make a car learn to drive
Capturing Structure Implicitly from Noisy Time-Series having Limited Data
Missing data visualization module for Python.
Models and examples built with TensorFlow
Multi-Output Spectral Mixture kernel
Optimized primitives for collective multi-GPU communication
NLPCC2017示例代码以及数据描述
Implementation for Non-stationary Spectral Kernels (NIPS 2017)
The friendly PIL fork
Probabilistic Modeling Toolkit for Matlab/Octave.
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 ;)
ProMP: Proximal Meta-Policy Search
scikit-learn: machine learning in Python
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
Neural Relation Extraction implemented with LSTM in TensorFlow
Code for Tensorflow Machine Learning Cookbook
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.