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Name: Awesome machine learning deep learning libraries
Type: User
Company: University of UM
Bio: About machine learning ,nlp,deep learning.
Location: China
Name: Awesome machine learning deep learning libraries
Type: User
Company: University of UM
Bio: About machine learning ,nlp,deep learning.
Location: China
This repository includes some papers that I have read or which I think may be very interesting.
RecQ: A Python Framework for Recommender Systems
部分推荐算法的实现
Python library to compute knowledge graph embeddings
scikit-learn: machine learning in Python
Sequential model-based optimization with a `scipy.optimize` interface
Scrapy, a fast high-level web crawling and screen scraping framework for Python.
Making sense embedding out of word embeddings using graph-based word sense induction
A python tool for evaluating the quality of sentence embeddings.
利用Python实现酒店评论的中文情感分析
A unified approach to explain the output of any machine learning model.
Optimization Examples with SigOpt
My code from the Scikit-Learn Cookbook
Use evolutionary algorithms instead of gridsearch in scikit-learn
SLING - A natural language frame semantics parser
Python library for processing Chinese text
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
💫 Models for the spaCy Natural Language Processing (NLP) library
Mirror of Apache Spark
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Spark training material
Learning Apache spark,including code and data .Most part can run local.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
Statsmodels: statistical modeling and econometrics in Python
Unify Big Data and Machine Learning.
A Python scikit for building and analyzing recommender systems
中文近义词工具包
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Computation using data flow graphs for scalable machine learning
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.