Block or Report
Block or report dsshimel
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseStars
Language
Sort by: Recently starred
contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...
Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
Piano LED Visualizer: Connect an LED strip to your Raspberry Pi and create an immersive visual experience for your piano playing
Python application to control LEDs with a MIDI controller such as a keyboard using the WLED protocol and python-rtmidi
A set of C++ classes that provide a common API for realtime MIDI input/output across Linux (ALSA & JACK), Macintosh OS X (CoreMIDI) and Windows (Multimedia)
A node.js wrapper for RtMidi providing MIDI I/O
Python bindings for the cross-platform MIDI I/O library RtMidi
p5.sound brings the Processing approach to Web Audio and p5.js. Demos:
Control WS2812B and many more types of digital RGB LEDs with an ESP8266 or ESP32 over WiFi!
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
Free and open source streaming software built on OBS and Electron.
Mixxx is Free DJ software that gives you everything you need to perform live mixes.
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
LlamaIndex is a data framework for your LLM applications
AUTOMATIC1111 UI extension for creating videos using img2img and ebsynth.
A sleek, highly customizable timer for speedrunners.
Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates @ INTERSPEECH 2022
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.