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alphagozero-python-tensorflow

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)

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

biomedical-word-embeddings

Exploring vector representations of words in biomedical text

biomedical_corpora

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.

biomedical_embeddings

Some scripts to pretrain Word2Vec and FastText models using open PubMedCentral data

bionev

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

casrel

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

cginet

CGINet: Graph convolutional network-based model for identifying chemical-gene interaction in an integrated multi-relational graph

char-rnn-tf

Implement character-level language models for text generation based-on LSTM, in Python/TensorFlow

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

crnn-mxnet-chinese-text-recognition

An implementation of CRNN (CNN+LSTM+warpCTC) on MxNet for chinese text recognition

ddi-extraction-through-lstm

decagon

deepdecagon

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dep-embedding-tf

A TensorFlow implementation of dependency-based word embeddings (dependency-based word2vec)

dlstm

drug_word_embeddings

development and intrinsic evaluation of drug related word embeddings using PubMed abstracts and DrugBank

eospac6

EOSPAC6 - Access to Sesame data

ftapi

Front-tracking API

gcatsl

Graph Contextualized Attention Network for Predicting Synthetic Lethality in Human Cancers

gcn

Implementation of Graph Convolutional Networks in TensorFlow

hit-team

i2b2_2010

key-value-memory-networks

The implementation of key value memory networks in tensorflow

ksr

lstm_poem

使用pytorch实现RNN-LSTM写诗

movie_recommender

MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。

mpg

natural-language-summary-generation-from-structured-data

Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into natural language text