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Name: Weby
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Name: Weby
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Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Exploring vector representations of words in biomedical text
Table compiling the list of biomedically-related corpora available for named entity recognition (and some also suitable for association detection). This has been published as part of the paper: Dieter Galea, Ivan Laponogov, Kirill Veselkov; Exploiting and assessing multi-source data for supervised biomedical named entity recognition, Bioinformatics, bty152, https://doi.org/10.1093/bioinformatics/bty152 . If you would like to add other (or your) corpora, please submit a pull request and I'll happily approve it.
Some scripts to pretrain Word2Vec and FastText models using open PubMedCentral data
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.
CGINet: Graph convolutional network-based model for identifying chemical-gene interaction in an integrated multi-relational graph
Implement character-level language models for text generation based-on LSTM, in Python/TensorFlow
Convolutional Neural Network for Text Classification in Tensorflow
An implementation of CRNN (CNN+LSTM+warpCTC) on MxNet for chinese text recognition
This repository contains implementations and illustrative code to accompany DeepMind publications
A TensorFlow implementation of dependency-based word embeddings (dependency-based word2vec)
development and intrinsic evaluation of drug related word embeddings using PubMed abstracts and DrugBank
EOSPAC6 - Access to Sesame data
Front-tracking API
Graph Contextualized Attention Network for Predicting Synthetic Lethality in Human Cancers
Implementation of Graph Convolutional Networks in TensorFlow
The implementation of key value memory networks in tensorflow
使用pytorch实现RNN-LSTM写诗
MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。
Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into natural language text
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.