Search Results for "processing" - Page 77
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Showing 5101 open source projects for "processing"
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MystiQ
Qt5/C++ FFmpeg Media Converter
...Its interface is designed to be intuitive while still exposing advanced features for experienced users. Overall, it combines ease of use with powerful multimedia processing capabilities. -
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gifgen
Simple high quality GIF encoding
gifgen is a lightweight command-line tool designed to generate high-quality GIFs from video files using FFmpeg and optimized encoding techniques. It focuses on producing visually efficient GIFs by applying palette generation and dithering methods to balance quality and file size. The tool simplifies the process of converting video clips into GIF animations by automating multiple FFmpeg steps into a single command. It allows users to define parameters such as frame rate, resolution, and... -
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NLP Best Practices
Natural Language Processing Best Practices & Examples
In recent years, natural language processing (NLP) has seen quick growth in quality and usability, and this has helped to drive business adoption of artificial intelligence (AI) solutions. In the last few years, researchers have been applying newer deep learning methods to NLP. Data scientists started moving from traditional methods to state-of-the-art (SOTA) deep neural network (DNN) algorithms which use language models pretrained on large text corpora. -
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NLP-progress
Repository to track the progress in Natural Language Processing (NLP)
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks. This document aims to track the progress in Natural Language Processing (NLP) and give an overview of the state-of-the-art (SOTA) across the most common NLP tasks and their corresponding datasets. It aims to cover both traditional and core NLP tasks such as dependency parsing and part-of-speech tagging as well as more recent ones such as reading comprehension and natural language inference. ... -
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nlpcr
Natural language processing using coroutines in C
Natural language processing using coroutines in C -
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face-api.js
JavaScript API for face detection and face recognition in the browser
...Browser applications can draw boxes, labels, landmarks, and results on overlay canvases. Node.js support is available through image and canvas polyfills, with native TensorFlow bindings recommended for faster processing. -
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usunmessenger
usun Messenger framework for various tasks processing
usun Messenger framework for various tasks processing, messenger systems configuration, plugin-based extensions, etc. -
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TensorNets
High level network definitions with pre-trained weights in TensorFlow
...Models are written in tf.contrib.layers, which is lightweight like PyTorch and Keras, and allows for ease of accessibility to every weight and end-point. Also, it is easy to deploy and expand a collection of pre-processing and pre-trained weights. Readability. With recent TensorFlow APIs, more factoring and less indenting can be possible. For example, all the inception variants are implemented as about 500 lines of code in TensorNets while 2000+ lines in official TensorFlow models. Reproducibility. You can always reproduce the original results with simple APIs including feature extractions. -
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FastoCloud PRO
IPTV/NVR/CCTV/Video cloud https://fastocloud.com
IPTV/Video cloud Features: Cross-platform (Linux, MacOSX, FreeBSD, Raspbian/Armbian) GPU/CPU Encode/Decode/Post Processing Stream statistics CCTV Adaptive hls streams Load balancing Temporary urls HLS push EPG scanning Subtitles to text conversions AD insertion Logo overlay Video effects Relays Timeshifts Catchups Playlists Restream/Transcode from online streaming services like Youtube, Twitch Mozaic Many Outputs Physical Inputs Streaming Protocols File Formats Presets Vods/Series server-side support Pay per view channels Channels on demand HTTP Live Streaming (HLS) server-side support Public API, client server communication via JSON RPC Protocol gzip compression Deep learning video analysis Supported deep learning frameworks: Tensorflow NCSDK Caffe ML Hardware: -
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Programa para generar documentos HTML con expresiones matemáticas incrustadas, procesadas con Maxima (maxima.sourceforge.net).
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YouTokenToMe
Unsupervised text tokenizer focused on computational efficiency
YouTokenToMe is a fast and efficient unsupervised text tokenization library designed for training subword embeddings, particularly useful for NLP models. -
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Zappa
Serverless Python
...That means infinite scaling, zero downtime, zero maintenance - and at a fraction of the cost of your current deployments! With a traditional HTTP server, the server is online 24/7, processing requests one by one as they come in. If the queue of incoming requests grows too large, some requests will time out. With Zappa, each request is given its own virtual HTTP "server" by Amazon API Gateway. AWS handles the horizontal scaling automatically, so no requests ever time out. Each request then calls your application from a memory cache in AWS Lambda and returns the response via Python's WSGI interface. ... -
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MediaToolkit
A .NET library to convert and process all your video & audio files
...MediaToolkit also integrates FFprobe for retrieving detailed media information. Its lightweight design makes it easy to integrate into existing .NET projects. Overall, it offers a convenient abstraction layer for multimedia processing in C# environments. -
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Weld
High-performance runtime for data analytics applications
...This approach reduces data movement between libraries and enables the system to generate highly optimized machine code for parallel execution. Weld is particularly useful for workloads involving large-scale data processing in frameworks such as NumPy, Spark, and TensorFlow. The language includes built-in constructs for expressing data-parallel operations, enabling efficient execution on modern hardware architectures. By combining operations from multiple libraries into a single optimized execution plan, Weld can significantly improve performance in analytics and machine learning pipelines. -
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Roth
Roth is a full-stack enterprise application development framework.
...The Model and Utility components provide a simple persistence-like interface to database back-ends, without the complexity or overhead of JPA or Hibernate. The servlet component provides a simple and easy way to generate concise controller code with automatic POST processing. The Interface and Client components provide simple and easy components which reduce the code necessary to create UI pages. All components are designed to work in concert to provide a consistent code set, however you have the freedom to use portions with other frameworks as desired. Roth is a continuation and successor of the JpPortal framework. ... -
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videoshow
Simple node.js utility to create video slideshows from images
videoshow is a Node.js utility designed to create video slideshows from a sequence of images using FFmpeg as its processing engine. It allows developers to programmatically generate videos by combining images with optional audio tracks, subtitles, and visual transitions. The tool supports customization of parameters such as frame rate, resolution, bitrate, and codecs, enabling flexible output configurations. It includes both a programmatic API and a command-line interface, making it adaptable for different workflows. videoshow processes media efficiently and is used in production environments to generate large volumes of videos automatically. ... -
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SCiDA Pro
Program for solar cell production data analysis
The purpose of the SCiDA Pro program is to help with processing solar cell production data. It has the following features: - Able to handle large data sets in a fast way (e.g. plotting 100k cell data takes a few seconds) - Easy data filtering - Easy generation of a data summary report - Extensive data plotting features - Cross-platform (Windows/Linux/MacOS) - Supports multiple languages -
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makedumpfile
make a small dumpfile of kdump
The makedumpfile project page moved to https://github.com/makedumpfile/makedumpfile. By using the makedumpfile command, it is possible to shorten the dumpfile of kdump. -
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AhoCorasickDoubleArrayTrie
An extremely fast implementation of Aho Corasick algorithm
...By using a double-array trie representation, the project emphasizes performance and memory efficiency compared to simpler pointer-heavy trie structures, which can matter a lot for large dictionaries or latency-sensitive services. This makes it a strong fit for tasks like content filtering, entity/term spotting, dictionary-based annotation, or high-throughput log/text processing. In short, it’s a specialized, speed-focused library for industrial-strength multi-keyword matching in Java. -
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ksqlDB
The database purpose-built for stream processing applications
...Three categories are foundational to building an application: collections, stream processing, and queries. Streams are immutable, append-only sequences of events. They're useful for representing a series of historical facts. Tables are mutable collections of events. They let you represent the latest version of each value per key. -
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cocoNLP
A Chinese information extraction tool
cocoNLP is a lightweight natural-language processing toolkit geared toward practical information extraction from raw text, especially for Chinese and mixed Chinese–English content. Instead of requiring a heavy pipeline, it focuses on quick wins such as extracting names, places, organizations, emails, phone numbers, and dates directly from unstructured sentences. The project blends pattern-based methods with NLP heuristics, giving developers dependable results for real-world texts like chats, comments, and user-generated content. ... -
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Top deep learning Github repositories
Top 200 deep learning Github repositories sorted by stars
...Instead of providing its own machine learning models or frameworks, the project functions as an organized index that helps users discover high-quality deep learning repositories across different application domains. The repository categorizes projects related to neural networks, computer vision, natural language processing, reinforcement learning, and other areas of artificial intelligence. By collecting popular open-source implementations in one place, the project simplifies the process of exploring cutting-edge tools and research implementations for deep learning practitioners. The curated lists are particularly helpful for developers who want to quickly identify well-maintained projects with strong community support. -
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An alignment-free standalone tool with interactive graphical user interface for DNA sequence comparison and analysis
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PRMLT
Matlab code of machine learning algorithms in book PRML
...This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for reading image data). The code is extremely compact. Minimizing code length is a major goal. As a result, the core of the algorithms can be easily spotted. Many tricks for speeding up Matlab code are applied (e.g. vectorization, matrix factorization, etc.). Usually, functions in this package are orders faster than Matlab builtin ones (e.g. kmeans). ... -
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MoPAC
The Modular Pipeline for the Analysis of CRISPR screens
To facilitate the comparison of gene essentialities in two or more cell samples, we propose MoPAC (Modular Pipeline for Analysis of CRISPR screens), a Shiny-driven interactive tool for differential essentiality analysis in CRISPR/Cas9 screens. For installation and usage instructions please refer to the wiki page.
