Search Results for "morse code decoders"

mozc-devices is an open source collection of circuit diagrams, firmware, and technical documentation for a series of experimental and often humorous Gboard and Google Japanese Input hardware keyboards, many of which were originally released as April Fools’ projects by Google Japan. Each subproject in the repository corresponds to a unique input device prototype, including versions such as the Drum Set, Morse Code, Patapata, Magic Hand, Piropiro, Physical Flick, Puchi Puchi, Nazoru, Mageru, Yunomi, Bar, Caps, Double Sided, and Dial editions. These devices creatively reinterpret how users can interact with Japanese text input, blending humor, engineering, and physical computing. The repository serves as an archive of the schematics, firmware, and PCB designs for these inventive input mechanisms, with many projects including promotional videos and technical references.

NExT-GPT is an open-source research framework that implements an advanced multimodal large language model capable of understanding and generating content across multiple modalities. Unlike traditional models that primarily handle text, NExT-GPT supports input and output combinations involving text, images, video, and audio in a unified architecture. The system connects a large language model with multimodal encoders and diffusion-based decoders so it can interpret information from different...

Omnilingual-ASR is a research codebase exploring automatic speech recognition that generalizes across a very large number of languages using shared modeling and training recipes. It focuses on leveraging self-supervised audio pretraining and scalable fine-tuning so low-resource languages can benefit from high-resource data. The project provides data preparation pipelines, training scripts, decoding utilities, and evaluation tools so researchers can reproduce results and extend to new...

OSS-Fuzz-Gen is a companion project that helps automatically create or improve fuzz targets for open-source codebases, aiming to increase coverage in OSS-Fuzz with minimal maintainer effort. It analyses a library’s APIs, examples, and tests to propose harnesses that exercise parsers, decoders, or protocol handlers—precisely the code where fuzzing pays off. The system integrates with modern LLM-assisted workflows to draft harness code and then iterates based on build errors or low coverage signals. Importantly, it aligns with OSS-Fuzz conventions, generating corpus seeds, build rules, and sanitizer settings so projects can plug in quickly. ...

The PyTorch-based audio source separation toolkit for researchers. Pytorch-based audio source separation toolkit that enables fast experimentation on common datasets. It comes with a source code thats supports a large range of datasets and architectures, and a set of recipes to reproduce some important papers. Building blocks are thought and designed to be seamlessly plugged together. Filterbanks, encoders, maskers, decoders and losses are all common building blocks that can be combined in a flexible way to create new systems. ...

i-JEPA (Image Joint-Embedding Predictive Architecture) is a self-supervised learning framework that predicts missing high-level representations rather than reconstructing pixels. A context encoder sees visible regions of an image and predicts target embeddings for masked regions produced by a slowly updated target encoder, focusing learning on semantics instead of texture. This objective sidesteps generative pixel losses and avoids heavy negative sampling, producing features that transfer...

PixelCNN is the official implementation from OpenAI of the autoregressive generative model described in the paper Conditional Image Generation with PixelCNN Decoders. It provides code for training and evaluating PixelCNN models on image datasets, focusing on conditional image modeling where pixels are generated sequentially based on the values of previously generated pixels. The repository demonstrates how to apply masked convolutions to enforce autoregressive dependencies and achieve tractable likelihood-based training. ...

sg2im is a research codebase that learns to synthesize images from scene graphs—structured descriptions of objects and their relationships. Instead of conditioning on free-form text alone, it leverages graph structure to control layout and interactions, generating scenes that respect constraints like “person left of dog” or “cup on table.” The pipeline typically predicts object layouts (bounding boxes and masks) from the graph, then renders a realistic image conditioned on those layouts....

This is a project I started to learn Python and Tkinter. It all started when I received a PI for Christmas in 2015. Over Christmas breaks I have time away from work to play on projects and I have taken an interest in programming. There are many fine ham radio programs out there. This is just a learning tool. The code was written in Python2.7 and bundled with Pyinstaller. This bundle works for Windows 7 and Windows 10. CWOnly has two screen. The main screen is for operation. There...

Software Defined Radio Transceiver project is written in Python while using GNU Radio and USRP. The goal is to create a software HF transceiver with various modes. Go here for more info: http://apps.sourceforge.net/mediawiki/sdr/index.php?title=Main_Page

Cross-platform trainer and library for Morse Code. Features two parts: GUI Morse trainer, and Python library. Library can be downloaded separately and be used in your programs. Library outputs wav files or raw audio data. Regular and Farnsworth modes.

This small python script will generate mp3 and corresponding text files for learning / training the morse code. It follows the method of Koch for teaching the characters and the method described in N0HFFs book for improving the skills even more.

PyMorseRSS is a project using Python to generate Morse code practice files and making them available via RSS. The Morse code practice files are generated according to the Koch method using Farnsworth timing and both MP3 and OGG outputs are supported.

Convert text to International Morse Code. Input is ASCII text. Output can be: - . -..- - on the console, raw 8bit PCM suitable for piping to /dev/audio, .wav files or even (mp3|ogg). Good for headlines on your MP3 player or code practice.