Tony Yousefnezhad (myousefnezhad)

myousefnezhad

Geek Repo

Company:University of Alberta

Location:Edmonton, AB Canada

Home Page:https://www.yousefnezhad.com/

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Tony Yousefnezhad's repositories

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adni202

Alzheimer's Disease Neural Images (ADNI) for 202 subjects

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cail

Clustering Algorithms Independency Language (CAIL) scripts

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easyx

A library for storing complex data structure based on HDF5

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persianhandwriting

Persian (Farsi) Handwritten Dataset

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wsce

Code for Weighted Spectral Cluster Ensemble (ICDM'15)

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EffectivePyTorch

PyTorch tutorials and best practices.

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grafana

The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

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boilerplates

This is my personal template collection. Here you'll find templates, and configurations for various tools, and technologies.

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boilerplates-for-rust-application

I publish some boilerplates for developing rust application in this repository

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components

Reusable React components used by HospitalRun

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crates-io-proxy-docker

This project provides a docker repository for locally caching crates.io packages using crates-io-proxy

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cuda_programming

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch

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Deep-Forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

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gkecloud

This Docker image provides Google Cloud, Kubernetes, and Helm command line tools for GKE

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hospitalrun

Monorepo that holds all of HospitalRun's v2 projects.

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hospitalrun-frontend

Frontend for HospitalRun

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hospitalrun-server

Backend for HospitalRun

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hospitalrun.io

HospitalRun website

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kubeclould

This project provides a Docker image with `kubectl` and `helm`

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Persian-Glossaries-for-Apple-Dictionary

Converted version of available Persian-English glossaries for Apple Dictionary app in macOS

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pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

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pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

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SLM-Lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

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