Search Results for "morse code encoder"
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41 projects for "morse code encoder" with 2 filters applied:
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Build Data Resilience - Take the Assessment TodayIs your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
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ModernBERT
Bringing BERT into modernity via both architecture changes and scaling
ModernBERT is an open-source research project that modernizes the classic BERT encoder architecture by incorporating recent advances in transformer design, training techniques, and efficiency improvements. The goal of the project is to bring BERT-style models up to date with the capabilities of modern large language models while preserving the strengths of bidirectional encoder architectures used for tasks such as classification, retrieval, and semantic search. ModernBERT introduces... -
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rtmp-rtsp-stream-client-java
Library to stream in rtmp and rtsp for Android. All code in Java
Library for streaming in RTMP and RTSP. All code in Java. -
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MedGemma
Collection of Gemma 3 variants that are trained for performance
MedGemma is a collection of specialized open-source AI models created by Google as part of its Health AI Developer Foundations initiative, built on the Gemma 3 family of transformer models and trained for medical text and image comprehension tasks that help accelerate the development of healthcare-focused AI applications. It includes multiple variants such as a 4 billion-parameter multimodal model that can process both medical images and text and a 27 billion-parameter text-only (and... -
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LAME (Lame Aint an MP3 Encoder)
A high quality MP3 encoder
LAME is an educational tool to be used for learning about MP3 encoding. The goal of the LAME project is to improve the psycho acoustics, quality and speed of MP3 encoding. Note: we provide source code only! -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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JEPA
PyTorch code and models for V-JEPA self-supervised learning from video
JEPA (Joint-Embedding Predictive Architecture) captures the idea of predicting missing high-level representations rather than reconstructing pixels, aiming for robust, scalable self-supervised learning. A context encoder ingests visible regions and predicts target embeddings for masked regions produced by a separate target encoder, avoiding low-level reconstruction losses that can overfit to texture. This makes learning focus on semantics and structure, yielding features that transfer well... -
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vJEPA-2
PyTorch code and models for VJEPA2 self-supervised learning from video
VJEPA2 is a next-generation self-supervised learning framework for video that extends the “predict in representation space” idea from i-JEPA to the temporal domain. Instead of reconstructing pixels, it predicts the missing high-level embeddings of masked space-time regions using a context encoder and a slowly updated target encoder. This objective encourages the model to learn semantics, motion, and long-range structure without the shortcuts that pixel-level losses can invite. The... -
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DeepSeek-OCR 2
Visual Causal Flow
...The repository provides model code and inference scripts that let researchers and developers run and benchmark the system on both images and PDFs, with support for batch evaluation and optimized pipelines leveraging vLLM and transformers. -
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FLUX.2
Official inference repo for FLUX.2 models
FLUX.2 is a state-of-the-art open-weight image generation and editing model released by Black Forest Labs aimed at bridging the gap between research-grade capabilities and production-ready workflows. The model offers both text-to-image generation and powerful image editing, including editing of multiple reference images, with fidelity, consistency, and realism that push the limits of what open-source generative models have achieved. It supports high-resolution output (up to ~4 megapixels),... -
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GLM-OCR
Accurate × Fast × Comprehensive
...The model’s multimodal capabilities allow it to reason across image and text content holistically, capturing structured and unstructured information from pages that include dense tables, seals, code snippets, and varied document graphics. GLM-OCR integrates a comprehensive SDK and inference toolchain that makes it easy for developers to install, invoke, and embed into production pipelines with simple commands or APIs. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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HiDream-I1
Open-source image generative foundation model
HiDream-I1 is an open-source image generation foundation model with 17 billion parameters. It is designed to produce high-quality images from text prompts while keeping inference practical through efficient model design. The project provides full, dev, and fast model variants with different inference step counts. It supports direct Python inference scripts, an interactive Gradio demo, and integration through the Hugging Face Diffusers library. The model uses a Llama 3.1 text encoder path and... -
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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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Segment Anything
Provides code for running inference with the SegmentAnything Model
Segment Anything (SAM) is a foundation model for image segmentation that’s designed to work “out of the box” on a wide variety of images without task-specific fine-tuning. It’s a promptable segmenter: you guide it with points, boxes, or rough masks, and it predicts high-quality object masks consistent with the prompt. The architecture separates a powerful image encoder from a lightweight mask decoder, so the heavy vision work can be computed once and the interactive part stays fast. A... -
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Shap-E
Generate 3D objects conditioned on text or images
The shap-e repository provides the official code and model release for Shap-E, a conditional generative model designed to produce 3D assets (implicit functions, meshes, neural radiance fields) from text or image prompts. The model is built with a two-stage architecture: first an encoder that maps existing 3D assets into parameterizations of implicit functions, and then a conditional diffusion model trained on those parameterizations to generate new assets. -
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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 125,000+ 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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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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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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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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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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learnmorse
Trainer helping people learn Morse code in an easy (and fun) way
The purpose of this software is to help people that want to learn Morse code. It aims to be simple and easy to use. It will offer different ways to learn morse code: - contest style (radiograms with 5 character groups transmitted at increasing speed) - free text transmission - sending information from different sources (web sites, files, executable output, etc) The application will generate a PCM sound that will be played via the sound card. -
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Codegroup
A Java application for transferring computer files in 5 letter groups
Codegroup is a Java application that will allow one to convert binary (or text) computer files in to 5 letter codegroups for transmission over email, landline telephones, radioteletype or Morse Code. Codegroup has internal error correction & limited cryptography capabilities. Codegroup : ZZZZZ YBPIL AIAIG FMOPP CPAAA DGNGP GPGPA ADNJN ELJKO ELIMO GEOHF KIFGP IFBCB PKCPI YJMHE PHBHP PPOBH NCOHD AKLLL AGHFP DEGEF LKELC EAIJI ABAGP AHPPO IHHPH OHPDF YNFPB ALEPO KMPKP Once this program has a graphical user interface, an Enigma like subsystem must be devised for data whitening. ... -
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Morse - learn morse code while browsing the net (Firefox-Extension). Install by opening file within Firefox, then read Menu/Tools/Morse/Help.
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Morse Master
Morse Coder / Encoder
You can code to morse or enode from morse in a simple way. It's written in ANSI C, the source code is redy to be built for unix based systems. There can be bugs in it, but it does the work. I recommend the source code for those who are learning C. -
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cwtbk
Decode incoming CW (Morse Code) signals
Morse Code (CW) decoder for Unix-like systems (and Windows).
