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Arduino Library for the Texas Instruments ADS1299
AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.
all kinds of baseline models for long text classificaiton( text categorization)
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
http://nlp.seas.harvard.edu/2018/04/03/attention.html
The source code of our COLING'18 paper "Few-Shot Charge Prediction with Discriminative Legal Attributes".
A curated list of automated machine learning papers, articles, tutorials, slides and projects
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
CPU and GPU-accelerated Machine Learning Library
A CPU and GPU-accelerated matrix library for data mining
Tensorflow implementation of contextualized word representations from bi-directional language models
The BLOG programming language
Scripts to download and run the latest Linux build of Chromium.
Try and use desktop software in your browser without downloading/installing anything.
Caffe definition files for the "Using Deep Learning to Predict Demographics from Mobile Phone Metadata" paper
:boom: Interactive and colorful :art: graph theory tutorials made using d3.js :zap:
A D3-based renderer for Dagre
A TensorFlow Implementation of DC-TTS: yet another text-to-speech model
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
DevilYuan股票量化系统
Distributed Factorization Machines
An implementation of a deep learning recommendation model (DLRM)
Code base for DSLs In Action (http://www.manning.com/ghosh)
This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to rank.
Baseline Systems of DuReader Dataset
A tensorflow implementation of EAST text detector
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
Library for fast text representation and classification.
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.