MaciejSkrabski

MaciejSkrabski's Stars

• jtaby/palmer

  782

• docker/awesome-compose

  Awesome Docker Compose samples

  Language:HTML34.9k6.7k

• SmiteshP/nvim-navic

  Simple winbar/statusline plugin that shows your current code context

  Language:Lua1.4k51

• qwc-services/qwc-docker

  Docker containers for qwc-services

  Language:HTML4736

• iitis/Polar-HRV-data-analysis

  Library for HRV data analysis based on measurements from Polar wearable devices

  Language:Python91

• lixus7/Time-Series-Works-Conferences

  Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

  79688

• gtworek/PSBits

  Simple (relatively) things allowing you to dig a bit deeper than usual.

  Language:C3.2k525

• cuge1995/awesome-time-series

  list of papers, code, and other resources

  954156

• tturba/wireshark

  Repozytorium zbiorcze z materiałami nt. Wireshark

  Language:Python7319

• WenjieDu/BrewPOTS

  The tutorials for PyPOTS, guide you to model partially-observed time series datasets.

  Language:Jupyter Notebook568

• mikeroyal/PipeWire-Guide

  PipeWire Guide. Learn about how PipeWire gives your Linux system a Professional Audio/Video Processing workflow.

  Language:Shell1.1k30

• cmus/cmus

  Small, fast and powerful console music player for Unix-like operating systems.

  Language:C5.6k468

• mamba-org/mamba

  The Fast Cross-Platform Package Manager

  Language:C++6.9k353

• conda-forge/miniforge

  A conda-forge distribution.

  Language:Shell6.4k326

• cure-lab/Awesome-time-series

  A comprehensive survey on the time series domains

  50545

• DynamicsAndNeuralSystems/catch22

  catch22: CAnonical Time-series CHaracteristics

  Language:C36469

• imperial-qore/TranAD

  [VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

  Language:Python520155

• USEPA/WNTR

  An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.

  Language:Python317183

• anyscale/academy

  Ray tutorials from Anyscale

  Language:Jupyter Notebook588195

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python33.7k5.7k

• ray-project/ray-educational-materials

  This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.

  Language:Jupyter Notebook33963

• lebensterben/awesome-clear-linux

  Let's make Clear Linux distribution great

  Language:Shell6920

• python-lsp/python-lsp-server

  Fork of the python-language-server project, maintained by the Spyder IDE team and the community

  Language:Python1.9k194

• microsoft/pyright

  Static Type Checker for Python

  Language:Python13.4k1.5k

• awslabs/gluonts

  Probabilistic time series modeling in Python

  Language:Python4.6k752

• brummer10/guitarix

  guitarix virtual versatile amplification for Jack/Linux

  Language:C++27532

• neovim/nvim-lspconfig

  Quickstart configs for Nvim LSP

  Language:Lua10.7k2.1k

• swaywm/sway

  i3-compatible Wayland compositor

  Language:C14.6k1.1k

• hrkfdn/ncspot

  Cross-platform ncurses Spotify client written in Rust, inspired by ncmpc and the likes.

  Language:Rust5k211

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python142k26.9k