Search Results for "morse code encoder" - Page 2
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Showing 111 open source projects for "morse code encoder"
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MATTA
Morse Code Utilitiies to convert text messages to & from sound files.
This is a commandline utility that converts a WAV sound file containing morse code to English text. Pre-built binaries run on OSX, MsWindows, & GNU/linux. It is written in Ada, so can be rebuilt on any platform with an Ada compiler. The input wav file must be monaural, with a 16-bit signed integer encoding, and a sample rate of 8000 Hz. Either sox or audacity can easily transform to this format. The wav file is expected to be international morse code, preferrably clean and properly spaced. ... -
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Basaran
Basaran, an open-source alternative to the OpenAI text completion API
...The open source community will eventually witness the Stable Diffusion moment for large language models (LLMs), and Basaran allows you to replace OpenAI's service with the latest open-source model to power your application without modifying a single line of code. Stream generation using various decoding strategies. Support both decoder-only and encoder-decoder models. Detokenizer that handles surrogates and whitespace. Multi-GPU support with optional 8-bit quantization. Real-time partial progress using server-sent events. Compatible with OpenAI API and client libraries. Comes with a fancy web-based playground. ... -
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Go-QRCode
QRCode Encoder written in Pure Go
A QR Code is a matrix (two-dimensional) barcode. Arbitrary content may be encoded, with URLs being a popular choice :) Each QR Code contains error recovery information to aid reading damaged or obscured codes. There are four levels of error recovery: Low, medium, high and highest. QR Codes with a higher recovery level are more robust to damage, at the cost of being physically larger. Copyright (c) 2014 Tom Harwood -
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OpenNMT-tf
Neural machine translation and sequence learning using TensorFlow
...While neural machine translation is the main target task, it has been designed to more generally support sequence-to-sequence mapping, sequence tagging, sequence classification, language modeling. Models are described with code to allow training custom architectures and overriding default behavior. For example, the following instance defines a sequence-to-sequence model with 2 concatenated input features, a self-attentional encoder, and an attentional RNN decoder sharing its input and output embeddings. Sequence to sequence models can be trained with guided alignment and alignment information are returned as part of the translation API. -
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Arduino ASCOM Focuser Pro DIY
Arduino Focuser, fully ASCOM complaint
myFocuserPro is an ASCOM and Moonlite compatible stepper motor telescope focus controller (DIY) based on Arduino Nano/Uno. A popular DIY ASCOM focuser with more than 121,000+ downloads. (c) Copyright Robert Brown 2014-2024. All Rights reserved. Permission is granted for personal and Academic use only. Spreadsheet to calculate what stepper motor to use. https://sourceforge.net/projects/arduinoascomfocuserpro2diy/files/Documentation/Nema-Stepper-Motors.xlsx/download -
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MorseCodeConverter
MorseCodeConverter lets anyone translate text to Morse code easily.
MorseCodeConverter allows users to convert text into Morse code, providing an interactive way to explore and work with Morse code translations. -
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iJEPA
Official codebase for I-JEPA
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 strongly with linear probes and minimal fine-tuning. ... -
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lora-svc
Singing voice change based on whisper, lora for singing voice clone
singing voice change based on whisper, and lora for singing voice clone. You will feel the beauty of the code from this project. Uni-SVC main branch is for singing voice clone based on whisper with speaker encoder and speaker adapter. Uni-SVC main target is to develop lora for SVC. With lora, maybe clone a singer just need 10 stence after 10 minutes train. Each singer is a plug-in of the base model. -
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CPT
CPT: A Pre-Trained Unbalanced Transformer
A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation. We replace the old BERT vocabulary with a larger one of size 51271 built from the training data, in which we 1) add missing 6800+ Chinese characters (most of them are traditional Chinese characters); 2) remove redundant tokens (e.g. Chinese character tokens with ## prefix); 3) add some English tokens to reduce OOV. Position Embeddings We extend the max_position_embeddings from 512 to 1024. We... -
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EnCodec
State-of-the-art deep learning based audio codec
...The repository includes pretrained checkpoints, PyTorch inference code, and examples for integrating Encodec as a module in downstream generative or streaming systems. -
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Tiny 84a Morse Code
Flashlight morse code for the Tiny84a
Hopefully this will help get morse code into flashlights. Seems everyone wants a light that goes high. I built these lights years ago. The buck was a personal design I had fabbed at oshpark and it fit into a modded budget light. The code should be able to be ported to other chips with changes. I picked the 84a because of it's size. There was no pic size equivalent. -
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mp3guessenc
What's inside your mp3 files REALLY ?
mp3guessenc is based upon the original project by Naoki Shibata. This command line utility was born to detect the encoder used for a mpeg layer III file but now it can do more and scan any mpeg audio file (any layer) and print a LOT of useful information. Latest modifications include fixes, new features and code optimizations. -
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VB6 and C code to encode wav pcm files in the mp3 format, full ID3 v1 v1.1 v2 (version 2.3) tags support in read and write mode, depending on the wav file the encoder can auto change to MPEG2 mode, VBR support, three levels of quality encoding method, depends on very old Win32 'Lame' project DLL (bladeenc).
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KB1OIQ - K1IG - Wordsworth
Learn CW (morse code) by words, and by ear
George (K1IG) had the idea to learn morse code in a different way. To improve ragchewing, listen to an entire word at the normal speed, and leave extra spaces between words. Teach the mind to interpret words without mentally spelling them. George coined the expression "wordsworth", partly as a play on "Farnsworth", but also as a pun, since we're trying to learn to mentally process a word's worth of information at a time. -
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TTS
Deep learning for text to speech
...Released models in PyTorch, Tensorflow and TFLite. Tools to curate Text2Speech datasets underdataset_analysis. Demo server for model testing. Notebooks for extensive model benchmarking. Modular (but not too much) code base enabling easy testing for new ideas. Text2Spec models (Tacotron, Tacotron2, Glow-TTS, SpeedySpeech). Speaker Encoder to compute speaker embeddings efficiently. Vocoder models (MelGAN, Multiband-MelGAN, GAN-TTS, ParallelWaveGAN, WaveGrad, WaveRNN). If you are only interested in synthesizing speech with the released TTS models, installing from PyPI is the easiest option. -
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clzw
Implementation of LZW compression algorithm in C
Simple, fast implementation of LZW (Lempel–Ziv–Welch) data compression algorithm in C. - Console encoder/decoder tools - OS independent - Could be used in embedded projects - Works with raw code-stream LZW features: - Hardcoded dictionary size - Variable code size - Code search is performed by hash table and embedded in dictionary linked lists (encoder) - No dynamic memory allocation -
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Multilingual Speech Synthesis
An implementation of Tacotron 2 that supports multilingual experiments
This repository provides synthesized samples, training and evaluation data, source code, and parameters for the paper One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech. It contains an implementation of Tacotron 2 that supports multilingual experiments and that implements different approaches to encoder parameter sharing. It presents a model combining ideas from Learning to speak fluently in a foreign language: Multilingual speech synthesis and cross-language voice cloning, End-to-End Code-Switched TTS with Mix of Monolingual Recordings, and Contextual Parameter Generation for Universal Neural Machine Translation. ... -
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SentEval
A python tool for evaluating the quality of sentence embeddings
...Because the interface is minimal, researchers can plug in encoders from any framework or language model and obtain a broad evaluation with little glue code. SentEval helped establish common baselines and reporting conventions in the sentence-representation community, reducing friction when comparing new methods. -
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DETR
End-to-end object detection with transformers
...It consists of a set-based global loss, which forces unique predictions via bipartite matching, and a Transformer encoder-decoder architecture. Given a fixed small set of learned object queries, DETR reasons about the relations of the objects and the global image context to directly output the final set of predictions in parallel. Due to this parallel nature, DETR is very fast and efficient. -
20
GoJay
high performance JSON encoder/decoder with stream API for Golang
GoJay is a performant JSON encoder/decoder for Golang (currently the most performant, see benchmarks). It has a simple API and doesn't use reflection. It relies on small interfaces to decode/encode structures and slices. Gojay also comes with powerful stream decoding features and an even faster Unsafe API. There is also a code generation tool to make usage easier and faster. -
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CakeChat
CakeChat: Emotional Generative Dialog System
CakeChat is a backend for chatbots that are able to express emotions via conversations. The code is flexible and allows to condition model's responses by an arbitrary categorical variable. For example, you can train your own persona-based neural conversational model or create an emotional chatting machine. Hierarchical Recurrent Encoder-Decoder (HRED) architecture for handling deep dialog context. Multilayer RNN with GRU cells. -
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SYPPS
small yet powerful php shell
SYPPS - small yet powerful php shell is another PHP shell for pentesting -
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SG2Im
Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 201
...This separation lets the model reason about geometry and composition before committing to texture and color, improving spatial fidelity. The repository includes training code, datasets, and evaluation scripts so researchers can reproduce baselines and extend components such as the graph encoder or image generator. In practice, sg2im demonstrates how structured semantics can guide generative models to produce controllable, compositional imagery. -
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he
A robust HTML entity encoder/decoder written in JavaScript
he is a JavaScript library that provides robust HTML entity encoding and decoding, with full Unicode support. It supports all standardized named character references (e.g., ©, —), handles numeric and hex entities, and deals properly with astral Unicode symbols (i.e., code points outside the BMP). The library is designed so that he.decode(input) will safely convert HTML-entity encoded strings into proper Unicode text, and he.encode(text, options) will encode non-ASCII or special... -
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MORSELIZER - morse with Arduino
A non blocking morse training software for Arduino
An asynchronous Text to Morse Converter and Morse training software for Arduino Uno, based on interrupts and Timer1. And because it doesn't use that evil delay() function, this solution morselizes random letters or whatever it receives through its serial() interface, in a non blocking manner. https://github.com/vicival/morselizer
