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Mindaugas Zickus's Projects

tagrec icon tagrec

Towards A Standardized Tag Recommender Benchmarking Framework

talen icon talen

A way to do annotations for NER.

tanda icon tanda

Learning to Compose Domain-Specific Transformations for Data Augmentation

tankstercommand icon tankstercommand

A leaderboard and chat sample that demonstrates how you can combine ASP.NET and Node.js in the same web application running on Windows Azure Web Sites.

tantivy icon tantivy

Tantivy is a full-text search engine library inspired by Lucene and written in Rust

tapmap icon tapmap

TapMap is a demo .NET and Couchbase app

tavolo icon tavolo

Collection of deep learning modules and fucntionality for the TensorFlow-Keras framework

taxi-trajectory-prediction icon taxi-trajectory-prediction

Predict the destination of taxis in Porto, Portugal. https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i

taxorl icon taxorl

code for the paper "End-to-End Reinforcement Learning for Automatic Taxonomy Induction" ACL 2018

tbcnn-attention icon tbcnn-attention

A modified version of Tree-based convolutional neural network using Global Attention vector in the Aggregation Layer

tcdf icon tcdf

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

tdml-example icon tdml-example

Companion exercise to my WIP book "Clean Machine Learning Code"

teafiles.cpp icon teafiles.cpp

C++ API for the TeaFile File Format. TeaFiles is Time Series Persistence in Flat Files.

telegraf icon telegraf

The plugin-driven server agent for collecting & reporting metrics.

tematres-vocabulary-server icon tematres-vocabulary-server

Web application for management formal representations of knowledge, like controlled vocabularies, taxonomies, thesauri and glossaries

template-scala-probabilistic-classifier-vw-sgd icon template-scala-probabilistic-classifier-vw-sgd

A PredictionIO engine template using online logistic regression [Backed by Vowpal Wabbit; SGD w/ early stopping, adaptive learning rates & normalized and invariant updates] with raw (probabilistic) outputs

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