Sequence modelling applied to event collisions
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Updated
Jun 12, 2019 - Python
Sequence modelling applied to event collisions
Coursera Deep Learning Specialization offered by DeepLearning.AI
Sequence Models in NLP
ESN implementation in Matlab
Assignments on Deep Learning Specialization created by Andrew Ng
Label slots in user queries
A demo for predicting patient health status via diagnosis and prescription drugs. Key methods: (simple) EHR-sequencing, NLP, classification algorithms (e.g. logistic regression, decision tree)
Generating embeddings for nodes in a graph using random walks and sequence modeling
📝 Solved Programming Assignments of Deep Learning Specialization on Coursera
Final project for NYU Deep Learning course
Deep Learning Specialization by Andrew Ng, Coursera
Differentiable Sequence Models
Assignment Files, Notes and Slides of DeepLearning.AI Natural Language Processing Specialization
This repository contains my notes on DeepLearning.ai NLP specialization courses.
Predict intent from user queries
CoNLL-2003 is a named entity recognition dataset. Consists of eight files covering two languages: English and German, although German wasn't used. For each of the languages there is a training file, a development file, a test file and a large file with unannotated news data, from August 1996 and August 1997.
This repository contains models trained for various purposes during my summer internship at Optical Networks and Technologies Lab.
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