Tony Yousefnezhad's repositories
persianhandwriting
Persian (Farsi) Handwritten Dataset
EffectivePyTorch
PyTorch tutorials and best practices.
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.
boilerplates
This is my personal template collection. Here you'll find templates, and configurations for various tools, and technologies.
boilerplates-for-rust-application
I publish some boilerplates for developing rust application in this repository
components
Reusable React components used by HospitalRun
crates-io-proxy-docker
This project provides a docker repository for locally caching crates.io packages using crates-io-proxy
cuda_programming
Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch
Deep-Forest
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
gkecloud
This Docker image provides Google Cloud, Kubernetes, and Helm command line tools for GKE
hospitalrun
Monorepo that holds all of HospitalRun's v2 projects.
hospitalrun-frontend
Frontend for HospitalRun
hospitalrun-server
Backend for HospitalRun
hospitalrun.io
HospitalRun website
kubeclould
This project provides a Docker image with `kubectl` and `helm`
Persian-Glossaries-for-Apple-Dictionary
Converted version of available Persian-English glossaries for Apple Dictionary app in macOS
pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
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 ;)
pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".