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Neural Graph Collaborative Filtering, SIGIR2019
This is the code for "Neural Network Voices" by Siraj Raval on Youtube
The code for the paper "Neural 3D Mesh Renderer" by Hiroharu Kato, Yoshitaka Ushiku, and Tatsuya Harada.
Code to accompany "A Neural Framework for Generalized Topic Models"
Replication of Uber Neuroevolution paper
Neural networks toolbox focused on medical image analysis
[ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
A PyTorch implementation of "A Higher-Order Graph Convolutional Layer" (NeurIPS 2018).
AI智能审查,支持色情识别、暴恐识别、语言识别、敏感文字检测和视频检测等功能,以及各种OCR识别能力,如身份证、驾照、行驶证、营业执照、银行卡、手写体、车牌和名片识别等功能,可以访问网站体验功能。
Tutorial scripts for NIAK
An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
A Python package (pip-installable) with the functionality of ML.NET but with APIs that are similar to Scikit-Learn and components that integrate into Scikit-Learn pipelines.
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016
Implementation of Densely Connected Attention Propagation for Reading Comprehension (NIPS 2018)
Distinguishing between Natural and Computer-Generated Images Using Convolutional Neural Networks
A syntactic neural model for parsing natural language to executable code
Companion site for "Analysis Methods in Neural Language Processing: A Survey"
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
Gathers machine learning and Tensorflow deep learning models for NLP problems.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
PRIS文本组论文阅读分享会
Natural Language Processing Tutorial for Deep Learning Researchers
An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more
YSDA course in Natural Language Processing
Explains nlp building blocks in a simple manner.
NLPCC2017示例代码以及数据描述
A Tutorial about Programming for Natural Language Processing
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.