mahdikooshkbaghi

mahdikooshkbaghi's Stars

• ibraheemdev/modern-unix

  A collection of modern/faster/saner alternatives to common unix commands.

  30.9k39380781

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust30.1k1679k1.9k

• chubin/wttr.in

  :partly_sunny: The right way to check the weather

  Language:Python24.6k2246711.1k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.3k2523.5k3.6k

• dair-ai/ML-YouTube-Courses

  📺 Discover the latest machine learning / AI courses on YouTube.

  16k371201.9k

• daviddao/awful-ai

  😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

  7k30029232

• probml/pyprobml

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

  Language:Jupyter Notebook6.5k1924561.5k

• chubin/awesome-console-services

  A curated list of awesome console services (reachable via HTTP, HTTPS and other network protocols)

  5.5k13622336

• rapidsai/cuml

  cuML - RAPIDS Machine Learning Library

  Language:C++4.2k742.5k530

• michaelgutmann/ml-pen-and-paper-exercises

  Pen and paper exercises in machine learning

  Language:TeX1.9k313141

• learning-rust/learning-rust.github.io

  Rust Programming Language Tutorials for Everyone!

  1.5k2528166

• dalcde/cam-notes

  My Cambridge Lecture Notes

  Language:TeX1.3k385302

• chi-feng/mcmc-demo

  Interactive Markov-chain Monte Carlo Javascript demos

  Language:JavaScript794267115

• gordicaleksa/get-started-with-JAX

  The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

  Language:Jupyter Notebook6539097

• crazyhottommy/bioinformatics-one-liners

  Bioinformatics one liners from Ming Tang

  455190130

• williamgilpin/dysts

  More than a hundred strange attractors

  Language:Jupyter Notebook413131365

• probabilisticai/probai-2022

  Materials of the Nordic Probabilistic AI School 2022.

  Language:Jupyter Notebook1716028

• AMReX-Combustion/PeleC

  An AMR code for compressible reacting flow simulations

  Language:C++162276872

• flopach/digits-recognizer-kubeflow

  Sample MLOps Workflow: Recognizing Digits with Kubeflow

  Language:Jupyter Notebook1512899

• bedroombuilds/python2rust

  Code for Youtube series introducing Rust to Python programmers

  Language:Rust1453123

• BorgwardtLab/topological-autoencoders

  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.

  Language:Python1407533

• agadmator-library/agadmator-library.github.io

  Searchable listing of all agadmator youtube videos.

  Language:TypeScript9842218

• AMReX-Combustion/PeleLM

  An adaptive mesh hydrodynamics simulation code for low Mach number reacting flows

  Language:C++83214641

• DarthBenro008/rchore

  An feature packed Google Tasks CLI written purely in Rust

  Language:Rust515198

• Obscurely/falion

  An open source, programmed in rust, privacy focused tool and crate for interacting with programming resources (like stackoverflow) fast, efficiently and asynchronously/parallel using the CLI or GUI.

  Language:Rust43180

• martiningram/mcmc_runtime_comparison

  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis

  Language:Jupyter Notebook29203

• juftin/llm-term

  Chat with LLM models directly from the command line

  Language:Python25222

• marcoradocchia/youterm

  CLI tool to search for YouTube videos and play selected video/audio via MPV

  Language:Python19131

• mlund/xmgr-resurrection

  Patched XMGR plotting program for 64-bit machines

  Language:C13555

• betanalpha/tutorials

  Language:Jupyter Notebook9005