Alternatives and similar repositories for Predicting-Clinical-Events-via-Recurrent-Neural-Networks

Users that are interested in Predicting-Clinical-Events-via-Recurrent-Neural-Networks are comparing it to the libraries listed below

• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆23Updated 9 years ago
• clinicalml / ML-tools
  Miscellaneous tools for clinical ML
  ☆29Updated 7 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• grfiv / healthcare_twitter_analysis
  Healthcare Twitter Analysis
  ☆26Updated 9 years ago
• anoperson / DeepIE
  An Information Extraction Framework with Deep Learning developed at New York University
  ☆15Updated 8 years ago
• JonathanRaiman / rsm
  Topic analysis using RSM or PVDM.
  ☆11Updated 10 years ago
• iitml / AL
  Active Learning
  ☆56Updated 10 years ago
• abhishekkrthakur / walmart2015
  ☆26Updated 9 years ago
• nouiz / ccw_tutorial_theano
  Common Code Workflow tutorial on Theano
  ☆16Updated 9 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• shashankg7 / Matrix-Factorization-GPU
  Large scale matrix factorization on GPU
  ☆19Updated 9 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• allentran / graph2vec
  Theano implementation of GloVe for graphs
  ☆47Updated 10 years ago
• mariru / structured_embeddings
  ☆53Updated 7 years ago
• TaddyLab / deepir
  deep inverse regression
  ☆31Updated 9 years ago
• AYLIEN / adversarial-document-model
  Code needed to reproduce "Modeling documents with Generative Adversarial Networks"
  ☆37Updated 8 years ago
• Kyubyong / integer_sequence_learning
  RNN Approaches to Integer Sequence Learning--the famous Kaggle competition
  ☆28Updated 8 years ago
• mblondel / spira
  Recommender systems in Python
  ☆50Updated 10 years ago
• chengsoonong / digbeta
  Active learning for Big Data
  ☆25Updated 6 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 8 years ago
• EvoML / EvoML
  Using Genetic Algorithms to aid Machine Learning
  ☆18Updated 7 years ago
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 11 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated last month
• cjf00000 / ScaCTM
  Scalable inference for Correlated Topic Models
  ☆30Updated 10 years ago
• m2dsupsdlclass / azure-deployment
  Deployment instructions to get a GPU VM for the Deep Learning class
  ☆17Updated 7 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 9 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 10 years ago
• zygmuntz / Python-ELM
  Extreme Learning Machine implementation in Python
  ☆45Updated 11 years ago
• strin / BayesPA
  Online Max-Margin Topic Models for Accurate and Fast Text Classification [release v0.1]
  ☆53Updated 9 years ago