Sirvan Parasteh (parasteh)

parasteh

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Location:Regina

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Sirvan Parasteh's repositories

CS476_GitTemplate

This is a git Template for CS-476, Software Development Project Course

abda

Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19

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actor-platform

Actor Messaging platform

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attention-learn-to-route

Attention based model for learning to solve different routing problems

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attention-mechanisms

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

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concept-drift

This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift

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Concept-Drift-Detector-Selection-For-Hoeffding-Adaptive-Trees

Extensions to MOA for additional stream generators and classifiers as part of "Concept Drift Detector Selection For Hoeffding Adaptive Trees"

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deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

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fabeec

FastText-Bert Embedding Emotion Classification

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TensorFlow2.0-Examples

🙄 difficult algorithm, simple code.

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covid-ehr-benchmarks

A Comprehensive Benchmark For COVID-19 Predictive Modeling Using Electronic Health Records

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face_recognition

The world's simplest facial recognition api for Python and the command line

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gym-minigrid

Minimalistic gridworld package for OpenAI Gym

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linphone-android

Linphone.org mirror for linphone-android (git://git.linphone.org/linphone-android.git)

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MIMIC_Extract

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

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PWPAE-Concept-Drift-Detection-and-Adaptation

Data stream analytics: Implement online learning methods to address concept drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" accepted in IEEE GlobeCom 2021.

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RecSys2019_DeepLearning_Evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"

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Recurrent-Independent-Mechanisms

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

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Resteasy

REST and JAXRS

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SPFlow

Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

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spn

Online structure learning of sum product networks

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starter-hugo-research-group

👥 Create a stunning Research Group Website with Wowchemy and Hugo

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telegram-export

Export Telegram chat data and history

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TSP-improve

An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP problem.

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tspsimp

improved version of tsp

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TTS

:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

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ur-datascience.github.io

The hub of data science research at the U of Regina

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