Search Results for "encoding" - Page 10
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Showing 666 open source projects for "encoding"
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Change File Encoding
Change encoding of text files.
Change File Encoding is a utility that allows you to change the encoding of text files. For example, files saved in US-ASCII can be converted to UTF-8. Over 170 encodings are supported. Requires Java 1.8 or higher. -
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TurboVNC
High-speed, 3D-friendly, TightVNC-compatible remote desktop software
TurboVNC is a high-performance, enterprise-quality version of VNC based on TightVNC, TigerVNC, and X.org. It contains a variant of Tight encoding that is tuned for maximum performance and compression with 3D applications (VirtualGL), video, and other image-intensive workloads. TurboVNC, in combination with VirtualGL, provides a complete solution for remotely displaying 3D applications with interactive performance. TurboVNC's high-speed encoding methods have been adopted by TigerVNC and libvncserver, and TurboVNC is also compatible with any other TightVNC derivative. ... -
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Wwise-Unpacker-Revamped
This fork adds support for FLAC & Linux OS to unpack game audio Wwise
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Primus
An abstraction layer for real-time to prevent module lock-in
Primus, the creator god of transformers but now also known as universal wrapper for real-time frameworks. There are a lot of real-time frameworks available for Node.js and they all have different opinions on how real-time should be done. Primus provides a common low level interface to communicate in real-time using various real-time frameworks. Effortless switching between real-time frameworks by changing one single line of code. No more API rewrites needed when your project requirements... -
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VDSF-VN (ppp_qos)
Framework for simulation of video streaming over VANETs
Video Delivery Simulation Framework over Vehicular Networks (VDSF-VN) is a set of tools that allow the study of video streaming over Vehicular Networks (VANETs), including all the necessary tasks, namely: video encoding with HEVC, creating the network scenarios for SUMO & OMNeT++, launching the simulations in parallel, generating graphs with the results, analyzing the received video quality (PSNR, SSIM, ...). The framework is composed of several components: (1) an OMNeT++ project called "ppp_qos" (2) GatcomSUMO (3) GatcomVideo The applications GatcomSUMO and GatcomVideo are downloable from different SourceForge projects, and are developed in Java, so, they are platform independent, as well as the VDSF-VN framework. ... -
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YUView
The Free and Open Source Cross Platform YUV Viewer
...It includes tools for frame navigation, zooming, and side-by-side comparison, making it ideal for debugging and research in video compression. YUView can also display internal codec data such as motion vectors and prediction modes, giving deep insight into encoding processes. With integration support for FFmpeg and reference decoders, it extends beyond simple playback into a full analysis environment. Its extensible design allows for additional decoding and visualization modules. -
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wxMEdit
wxMEdit, Cross-platform Text/Hex Editor, Improved Version of MadEdit
•Added automatically checking for updates •Added bookmark support •Added right-click context menu for each tab •Added purging histories support •Added selecting a line by triple click •Added FreeBASIC syntax file •Added an option to place configuration files into %APPDATA% directory under Windows •Improved support for Find/Replace •Improved Mac OS X support •Improved system integration under Windows •Improved encoding detection result •Improved Hex editing support •Added more choices for data format copying/pasting in Hex Area •Added new feature: Paste with Overwriting in Hex Area •Improved encoding support --Added grouping of encodings --Added new encodings: ISO-8859-16,CP1258,KOI8-R/U,GB18030,CP850,CP852,CP855,CP866,CP437 for ASCII-Art •Redesigned dialogs with Code::Blocks wxSmith •Updated translations --Added Spanish,Russian,German,Polish translation --Updated Chinese and Japanese translations •Other fixes and changes -
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Piper
A distributed workflow engine
...It acts as a wrapper around FFmpeg-like utilities, enabling users to build pipelines for media transformation with reduced complexity. The project emphasizes automation and reproducibility, allowing consistent handling of media tasks across environments. It supports chaining operations such as encoding, filtering, and conversion in a structured manner. Piper is particularly useful for developers managing repetitive media processing jobs. Its design prioritizes clarity and efficiency in defining workflows. The tool bridges scripting convenience with powerful multimedia capabilities. -
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Node Fetch
A light-weight module that brings the Fetch API to Node.js
Instead of implementing XMLHttpRequest in Node.js to run browser-specific Fetch polyfill, why not go from native http to fetch API directly? Hence, node-fetch, minimal code for a window.fetch compatible API on Node.js runtime. See Jason Miller's isomorphic-unfetch or Leonardo Quixada's cross-fetch for isomorphic usage (exports node-fetch for server-side, whatwg-fetch for client-side). If you cannot switch to ESM, please use v2 which remains compatible with CommonJS. Critical bug fixes will... -
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MATTA
Morse Code Utilitiies to convert text messages to & from sound files.
...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. Tonal frequency or wpm-speed does not seem to matter. Now includes an inverse commandline app, txt2wav that creates a morse code WAV file from English text. ... -
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Chinese-LLaMA-Alpaca-2 v2.0
Chinese LLaMA & Alpaca large language model + local CPU/GPU training
This project has open-sourced the Chinese LLaMA model and the Alpaca large model with instruction fine-tuning to further promote the open research of large models in the Chinese NLP community. Based on the original LLaMA , these models expand the Chinese vocabulary and use Chinese data for secondary pre-training, which further improves the basic semantic understanding of Chinese. At the same time, the Chinese Alpaca model further uses Chinese instruction data for fine-tuning, which... -
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UUE
UUE is a tool that converts files to and from uuencoding
uuencoding is a form of binary-to-text encoding that originated in the Unix programs uuencode and uudecode written by Mary Ann Horton at UC Berkeley in 1980, for encoding binary data for transmission in email systems. This project is licensed under the ISC License. Copyright © 2020-2022 ALBANESE Research Lab Source code: https://github.com/pedroalbanese/uuencode Visit: http://albanese.atwebpages.com -
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Language-Aware String Extractor
multi-encoding strings(1) replacement with language identification
Enhanced version of the standard Unix strings(1) program which uses language models for automatic language identification and character-set identification, supporting over 1400 languages, dozens of character encodings, and 4800+ language/encoding pairs. -
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iodine
Official git repo for iodine dns tunnel
...Iodine creates a virtual network interface so systems can communicate through an IP tunnel carried over DNS. It supports multiple DNS record types and automatically attempts to select efficient encoding methods depending on the resolver environment. Because the tunneled traffic is not encrypted by default, it is best treated as a transport layer that should be paired with secure protocols when privacy matters. -
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CyoEncode
Base64, Base32, Base16, and Base85 encoding/decoding functions in C
Provides C functions for encoding binary data into a printable representation using Base64, Base32, Base16 (hex), or Base85/Ascii85 character sets, plus equivalent functions for the decoding of such encoded data back into its binary form. -
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Golang HLS Streamer
A server that exposes a directory for video streaming
...It focuses on performance and simplicity, leveraging Go’s concurrency model to handle streaming tasks efficiently. gohls can be integrated into backend services to enable adaptive streaming workflows. It supports real-time processing and can work alongside tools like FFmpeg for encoding. Overall, it provides a lightweight solution for implementing HLS streaming pipelines. -
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minGPT
A minimal PyTorch re-implementation of the OpenAI GPT
minGPT is a minimalist, educational re-implementation of the GPT (Generative Pretrained Transformer) architecture built in PyTorch, designed by Andrej Karpathy to expose the core structure of a transformer-based language model in as few lines of code as possible. It strips away extraneous bells and whistles, aiming to show how a sequence of token indices is fed into a stack of transformer blocks and then decoded into the next token probabilities, with both training and inference supported.... -
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QREncode for Windows
Encode input data in a QR Code and save as a PNG image
Libqrencode is a library for encoding data in a QR Code symbol, a kind of 2D symbology that can be scanned by handy terminals such as a mobile phone with CCD. The capacity of QR Code is up to 7000 digits or 4000 characters, and has high robustness. Qrencode is a utility software using libqrencode to encode string data in a QR Code and save as a PNG image. Source code: https://github.com/fukuchi/libqrencode -
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SwiftyJSONAccelerator
macOS app to generate Swift 5 code for models from JSON
MacOS app Codeable Model file Generator For Swift 5. A Swift model generator like the Objective-C JSONAccelerator. Formats and generates models for the given JSON and also breaks them into files making it easy to manage and share between several models. -
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EnCodec
State-of-the-art deep learning based audio codec
Encodec is a neural audio codec developed by Meta for high-fidelity, low-bitrate audio compression using end-to-end deep learning. Unlike traditional codecs (like MP3 or Opus), Encodec uses a learned quantizer and decoder to reconstruct complex waveforms with remarkable accuracy at bitrates as low as 1.5 kbps. It employs a convolutional encoder–decoder architecture trained with perceptual loss functions that optimize for human auditory quality rather than raw waveform distance. The model can... -
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DevToysMac
DevToys For mac
DevToysMac is a macOS-native development toolkit, modeled after Microsoft’s DevToys, offering a suite of utilities for transforming and encoding data. It includes converters (JSON ↔ CSV), hash generators, code formatters, and other essential developer tools—all packaged within a sleek SwiftUI-based interface. -
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Jason
A blazing fast JSON parser and generator in pure Elixir
..."\"\n\"" will produce a decoding error. No support for decoding into data structures (the as: option). No built-in encoders for MapSet, Range and Stream. No support for encoding arbitrary structs - explicit implementation of the Jason.Encoder protocol is always required. Different pretty-printing customization options (default pretty: true works the same). -
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PBC
A protocol buffers library for C
PBC is a Protocol Buffers library for C that works without code generation. It gives C developers a way to encode, decode, and work with Protocol Buffers messages dynamically. Because it avoids generated source files, it can be useful in environments where schemas need to be loaded or handled at runtime. The repository was archived by its owner in 2022, so it is now read-only and should be treated as a legacy project. Even so, it remains useful as a compact example of Protocol Buffers... -
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Penumbra
Penumbra Color Theme
...Its design focuses on functionality first, while maintaining an aesthetic quality that draws from familiar natural tones. Beyond its use in text editors and terminal environments, Penumbra’s carefully structured accent palettes are also suited for encoding information in data visualizations, where perceptual uniformity and hue differentiability are critical. -
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Auto-PyTorch
Automatic architecture search and hyperparameter optimization
While early AutoML frameworks focused on optimizing traditional ML pipelines and their hyperparameters, another trend in AutoML is to focus on neural architecture search. To bring the best of these two worlds together, we developed Auto-PyTorch, which jointly and robustly optimizes the network architecture and the training hyperparameters to enable fully automated deep learning (AutoDL). Auto-PyTorch is mainly developed to support tabular data (classification, regression) and time series...
