Search Results for "sacd decoder mac"
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Showing 249 open source projects for "sacd decoder mac"
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Rezku Point of SaleRezku is an all-inclusive ordering platform and management solution for all types of restaurant and bar concepts. You can now get a fully custom branded downloadable smartphone ordering app for your restaurant exclusively from Rezku.
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Award-Winning Medical Office Software Designed for Your SpecialtyRXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
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SACD ISO Tag Editor (macOS)
SACD ISO Tag Editor (Only macOS)
SACD ISO’s tags are often incorrect or missing. I can’t find a tool to edit tags, so I spent my spare time making this tool, hoping it will help you.If you feel good, you can donate it. Thank you. If you encounter any problems, send them to my e-mail: hytcqq@gmail.com Donate: https://thomassky270259040.wordpress.com -
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Pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle farming
A pytorch-toolbelt is a Python library with a set of bells and whistles for PyTorch for fast R&D prototyping and Kaggle farming. Easy model building using flexible encoder-decoder architecture. Modules: CoordConv, SCSE, Hypercolumn, Depthwise separable convolution and more. GPU-friendly test-time augmentation TTA for segmentation and classification. GPU-friendly inference on huge (5000x5000) images. Every-day common routines (fix/restore random seed, filesystem utils, metrics). Losses:... -
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MPD
Music Player Daemon SACD/DVD-A ISO decoder plugins
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simplejson
simplejson is a simple, fast, extensible JSON encoder/decoder
simplejson is a simple, fast, complete, correct and extensible JSON <http://json.org> encoder and decoder for Python 3.3+ with legacy support for Python 2.5+. It is pure Python code with no dependencies but includes an optional C extension for a serious speed boost. simplejson is the externally maintained development version of the json library included with Python (since 2.6). This version is tested with the latest Python 3.8 and maintains backward compatibility with Python 3.3+ and the... -
Failed Payment Recovery for Subscription BusinessesFlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
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The Bitdefender disassembler
bddisasm is a fast, lightweight, x86/x64 instruction decoder
The Bitdefender disassembler is a highly optimized, lightweight x86/x64 instruction decoder designed for security, reverse engineering, and low-level systems analysis. It focuses on decoding machine instructions with high precision while providing detailed metadata about each instruction, including operands, access modes, CPU flags, and feature requirements. Unlike many disassemblers, bddisasm is built with zero dynamic memory allocation and no external dependencies, making it extremely... -
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Pilipala
Recommendations, live streams, video playback
PiliPala is a GPL‑licensed, Flutter-built third-party Bilibili client that works on Android, iOS, desktop, and web. It includes recommendations, live streams, video playback with gestures, adjustable playback speed, AV quality and decoder controls, bullet comments, subtitles, snapshots, fullscreen modes, UI theming, blacklists, and more. -
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go-json
Fast JSON encoder/decoder compatible with encoding/json for Go
Fast JSON encoder/decoder compatible with encoding/json for Go. -
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Typia
Super-fast/easy runtime validations and serializations
Super-fast/easy runtime validations and serializations through transformation. -
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nghttp2
HTTP/2 C Library and tools
nghttp2 is an implementation of HTTP/2 and its header compression algorithm HPACK in C. The framing layer of HTTP/2 is implemented as a form of reusable C library. On top of that, we have implemented HTTP/2 client, server and proxy. We have also developed a load test and benchmarking tool for HTTP/2. We have participated in httpbis working group since HTTP/2 draft-04, which is the first implementation draft. Since then we have updated nghttp2 library constantly to the latest specification... -
The Most Powerful Software Platform for EHSQ and ESG ManagementChoose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
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Whisper
Robust Speech Recognition via Large-Scale Weak Supervision
OpenAI Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification. A Transformer sequence-to-sequence model is trained on various speech processing tasks, including multilingual speech recognition, speech translation, spoken language identification, and voice activity detection. These tasks are jointly represented... -
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far2l
Linux port of FAR v2
Linux fork of FAR Manager v2. Works also on OSX/MacOS and BSD (but the latter is not tested on a regular manner). Plug-ins that are currently working: NetRocks (SFTP/SCP/FTP/FTPS/SMB/NFS/WebDAV), colorer, multiarc, tmppanel, align, autowrap, drawing, edit case, SimpleIndent, Calculator, Python (optional scripting support). -
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Solidity
The Smart Contract Programming Language
Solidity is a statically-typed curly-braces programming language designed for developing smart contracts that run on Ethereum. Solidity 0.8.4 adds custom structured errors, allows more flexible configuration of the SMTChecker and fixes a bug in the Solidity ABI decoder v2. Read more about the bug here. With v0.8.4, errors can be defined inside and outside of contracts (including interfaces and libraries). This provides a convenient and gas-efficient way to explain to users why an operation... -
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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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Granite Code Models
A Family of Open Foundation Models for Code Intelligence
Granite Code Models are IBM’s open-source, decoder-only models tailored for code tasks such as fixing bugs, explaining and documenting code, and modernizing codebases. Trained on code from 116 programming languages, the family targets strong performance across diverse benchmarks while remaining accessible to the community. The repository introduces the model lineup, intended uses, and evaluation highlights, and it complements IBM’s broader Granite initiative spanning multiple modalities.... -
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go-toml
Go library for the TOML file format
Go library for the TOML format. This library supports TOML v1.0.0. Full API, examples, and implementation notes are available in the Go documentation. As much as possible, this library is designed to behave similarly as the standard library's encoding/json. While go-toml favors usability, it is written with performance in mind. Most operations should not be shockingly slow. Decoder can be set to "strict mode", which makes it error when some parts of the TOML document was not present in the... -
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Generic Image Decoder
A standalone, portable generic Ada package for decoding images
The Generic Image Decoder is a package for decoding a broad variety of image formats, from any data stream, to any kind of medium. Unconditionally portable code: OS-, CPU-, compiler- independent code. More information on... http://gen-img-dec.sf.net Alire crate: https://alire.ada.dev/crates/gid Mirror: https://github.com/zertovitch/gid -
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TorchAudio
Data manipulation and transformation for audio signal processing
The aim of torchaudio is to apply PyTorch to the audio domain. By supporting PyTorch, torchaudio follows the same philosophy of providing strong GPU acceleration, having a focus on trainable features through the autograd system, and having consistent style (tensor names and dimension names). Therefore, it is primarily a machine learning library and not a general signal processing library. The benefits of PyTorch can be seen in torchaudio through having all the computations be through PyTorch... -
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PLCrashReporter
Reliable, open-source crash reporting for iOS, macOS and tvOS
PLCrashReporter is a reliable open source library that provides an in-process live crash reporting framework for use on iOS, macOS and tvOS. The library detects crashes and generates reports to help your investigation and troubleshooting with the information of application, system, process, thread, etc. as well as stack traces. The easiest way to use PLCrashReporter is by using AppCenter. However, if you want to use PLCrashReporter directly, grab the latest release at the releases page.... -
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GLM-OCR
Accurate × Fast × Comprehensive
GLM-OCR is an open-source multimodal optical character recognition (OCR) model built on a GLM-V encoder–decoder foundation that brings robust, accurate document understanding to complex real-world layouts and modalities. Designed to handle text recognition, table parsing, formula extraction, and general information retrieval from documents containing mixed content, GLM-OCR excels across major benchmarks while remaining highly efficient with a relatively compact parameter size (~0.9B),... -
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x-transformers
A simple but complete full-attention transformer
A simple but complete full-attention transformer with a set of promising experimental features from various papers. Proposes adding learned memory key/values prior to attending. They were able to remove feedforwards altogether and attain a similar performance to the original transformers. I have found that keeping the feedforwards and adding the memory key/values leads to even better performance. Proposes adding learned tokens, akin to CLS tokens, named memory tokens, that is passed through... -
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Kronos
A Foundation Model for the Language of Financial Markets
Kronos is a specialized open-source foundation model designed for analyzing and predicting financial market data using time-series representations of candlestick patterns. It is built as a decoder-only Transformer model trained specifically on K-line data, which captures open, high, low, close, and volume information across multiple global exchanges. The system introduces a novel tokenization approach that converts continuous financial data into discrete tokens, enabling the model to process... -
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CTranslate2
Fast inference engine for Transformer models
CTranslate2 is a C++ and Python library for efficient inference with Transformer models. The project implements a custom runtime that applies many performance optimization techniques such as weights quantization, layers fusion, batch reordering, etc., to accelerate and reduce the memory usage of Transformer models on CPU and GPU. The execution is significantly faster and requires less resources than general-purpose deep learning frameworks on supported models and tasks thanks to many... -
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LosslessExtract
Lossless audio extraction tool for Bluray, DVD-Audio, SACD, MKV
Lossless Extract for macOS and Windows is a tool for purists who demand perfect audio preservation. Designed for precision and simplicity, it effortlessly extracts high-resolution audio from Blu-ray, SACD, MKV or DVD=Audio sources. It handles Dolby TrueHD (with Atmos) and DTS-HD Master Audio preserving atmos object based meta data. Many tools decode immersive audio into PCM, which permanently destroys spatial metadata. Lossless Extract preserves the original audio stream so the immersive mix... -
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IndexTTS2
Industrial-level controllable zero-shot text-to-speech system
IndexTTS is a modern, zero-shot text-to-speech (TTS) system engineered to deliver high-quality, natural-sounding speech synthesis with few requirements and strong voice-cloning capabilities. It builds on state-of-the-art models such as XTTS and other modern neural TTS backbones, improving them with a conformer-based speech conditional encoder and upgrading the decoder to a high-quality vocoder (BigVGAN2), leading to clearer and more natural audio output. The system supports zero-shot voice... -
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h265web.js
A HEVC/H.265 Web Player
h265web.js is a WebAssembly-powered video decoding library designed to enable playback and processing of H.265/HEVC video streams directly in web browsers without relying on native browser codec support. It provides a low-level decoding API that allows developers to build custom video players capable of handling raw H.265 streams, which are typically not widely supported natively in browsers. The project includes components for parsing H.265 bitstreams into NAL units and decoding them into...
