Search Results for "encoding"
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Showing 123 open source projects for "encoding"
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Sunshine
Self-hosted game stream host for Moonlight
Sunshine is an open-source self‑hosted cloud gaming server that implements NVIDIA’s GameStream protocol. Compatible with Moonlight clients across platforms, it supports low‑latency streaming via software or hardware encoding (AMD/Intel/NVIDIA) and offers a browser‑based control UI for pairing. -
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FastFlix
FastFlix is a free GUI for H.264, HEVC and AV1 hardware and software
FastFlix is a graphical user interface for AV1 video encoding that simplifies the process of converting video files into the modern AV1 format. It acts as a frontend for encoding tools such as SVT-AV1 and AOM, allowing users to configure advanced encoding parameters without using the command line. The application focuses on balancing quality and encoding speed, offering presets and tuning options for different use cases. -
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Tiktoken
tiktoken is a fast BPE tokeniser for use with OpenAI's models
tiktoken is a high-performance, tokenizer library (based on byte-pair encoding, BPE) designed for use with OpenAI’s models. It handles encoding and decoding text to token IDs efficiently, with minimal overhead. Because tokenization is a fundamental step in preparing text for models, tiktoken is optimized for speed, memory, and correctness in model contexts (e.g. matching OpenAI’s internal tokenization). The repo supports multiple encodings (e.g. -
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urllib3
Python HTTP library with thread-safe connection pooling
...Much of the Python ecosystem already uses urllib3 and you should too. Thread safety, connection pooling. Client-side TLS/SSL verification. File uploads with multipart encoding. Helpers for retrying requests and dealing with HTTP redirects. Support for gzip, deflate, brotli, and zstd encoding. Proxy support for HTTP and SOCKS. 100% test coverage. Professional support for urllib3 is available as part of the Tidelift Subscription. Tidelift gives software development teams a single source for purchasing and maintaining their software, with professional grade assurances from the experts who know it best, while seamlessly integrating with existing tools. -
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furl
The easiest way to parse and modify URLs in Python
...It wraps URL components into convenient objects, so developers can work directly with schemes, usernames, passwords, hosts, ports, paths, queries, and fragments. The library supports simple path editing, query argument changes, fragment manipulation, inline method chaining, and URL joining. It also handles encoding automatically, including percent-encoding, Unicode domains, Unicode paths, and query strings. furl supports Python 3 and PyPy3 and is designed to be well tested and practical for everyday backend, scripting, and data-processing workflows. It is a good fit for developers who frequently need to clean, transform, generate, or normalize URLs in Python applications. -
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Bili23 Downloader
Cross platform GUI tool for downloading videos from Bilibili sites
...It can parse different types of links such as standard video pages, short links, and collection or activity pages to automatically retrieve downloadable media. It also allows users to choose video resolution, audio quality, and encoding format based on the available sources. Additional features include downloading subtitles, comments, metadata, and artwork associated with videos. -
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Verticals v3
Automated YouTube Shorts pipeline
...The pipeline emphasizes automation, allowing users to produce short-form content at scale with minimal manual intervention. It integrates FFmpeg and other media processing tools to handle video transformations, resizing, and encoding. The system also supports adding overlays, captions, and audio enhancements to improve engagement. Designed for creators and developers, it enables repeatable workflows for generating social media content efficiently. Its modular structure allows customization of each stage in the pipeline, making it adaptable to different content strategies. -
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PyAV
Pythonic bindings for FFmpeg's libraries
...The library is designed for precise media manipulation, making it suitable for applications that require frame-level access or custom processing pipelines. PyAV integrates well with other Python libraries such as NumPy and Pillow, allowing seamless data transformation and analysis. It supports decoding, encoding, filtering, and resampling operations, covering a wide range of multimedia tasks. While powerful, it requires a solid understanding of FFmpeg concepts, as it prioritizes flexibility and control over abstraction. Overall, PyAV is a robust tool for developers building advanced video and audio processing systems in Python. -
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AutoCrop-Vertical
Smart video converter using YOLOv8 and FFmpeg
...Instead of applying a static center crop, the system intelligently tracks people or key objects to preserve visual focus and composition. When cropping would degrade the scene, it can switch to alternative layouts such as letterboxing to maintain context. The tool integrates FFmpeg for encoding and rendering, ensuring efficient processing and compatibility with standard video workflows. It supports multiple output aspect ratios and quality settings, allowing customization for different platforms. Designed as a lightweight script, it runs locally and provides a cost-free alternative to commercial video reframing tools. -
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Selkies-GStreamer
Open-Source Low-Latency Accelerated Linux WebRTC HTML5 Remote Desktop
...This module acts as a high-performance media pipeline that captures video, encodes it with low latency, and streams it via WebRTC to client browsers. It is optimized for GPU-accelerated encoding and integrates with Kubernetes-based deployments to enable scalable, real-time remote desktop sessions. This component plays a critical role in delivering smooth, responsive experiences for cloud-based workstations, gaming, or visualization tools. -
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UltraRAG
Less Code, Lower Barrier, Faster Deployment
UltraRAG 2.0 is a low-code, MCP-enabled RAG framework that aims to lower the barrier to building complex retrieval pipelines for research and production. It provides end-to-end recipes—from encoding and indexing corpora to deploying retrievers and LLMs—so users can reproduce baselines and iterate rapidly. The toolkit comes with built-in support for popular RAG datasets, large corpora, and canonical baselines, plus documentation that walks from “quick start” to debugging and case analysis. It encourages pipeline composition via configuration, enabling researchers to swap retrievers, rerankers, and generators without heavy refactoring. ... -
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zpdf
Zero-copy PDF text extraction library written in Zig
...The library supports streaming extraction using efficient arena allocation, making it well suited for workloads that need to process big documents quickly or in batches. It implements multiple PDF decompression filters and handles common font encoding pathways, which are essential for turning raw PDF content streams into readable text. It also understands both classic cross-reference tables and newer cross-reference streams, including PDF 1.5+ features, and it offers configurable strict vs permissive error handling depending on whether you prioritize correctness or robustness. -
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VidGear
A High-performance cross-platform Video Processing Python framework
...It acts as an abstraction layer over powerful multimedia libraries such as OpenCV, FFmpeg, and ZeroMQ, simplifying complex workflows into concise and efficient APIs. The framework is built around modular components called “gears,” each responsible for tasks such as video capture, streaming, encoding, and network transmission. It supports multi-threaded and asynchronous operations, enabling low-latency processing and efficient handling of high-throughput video streams. VidGear is designed to handle a wide range of use cases, including live streaming, video stabilization, screencasting, and distributed video systems. Its emphasis on simplicity allows developers to implement advanced multimedia pipelines with minimal code while maintaining performance and flexibility. -
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OpenShot Video Editor
Award-Winning Open Source Video Editing Software
OpenShot Video Editor is a powerful yet very simple and easy-to-use video editor that delivers high quality video editing and animation solutions. OpenShot offers a myriad of features and capabilities, including powerful curve-based Key frame animations, 3D animated titles and effects, slow motion and time effects, audio mixing and editing, and so much more. It’s available for Linux, Mac and Windows, with a very simple and friendly interface. Start creating stunning videos quickly and easily... -
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Videomass
Videomass is a free, open source and cross-platform GUI for FFmpeg
Videomass is a free, open-source graphical interface for FFmpeg designed to make advanced video and audio processing accessible to both beginners and experienced users. Built in Python using wxPython, it provides a cross-platform environment for managing encoding, conversion, and editing tasks through a visual interface. The software supports multitasking operations, allowing users to process multiple media files simultaneously. It offers extensive configuration options while also providing presets to simplify common workflows. Videomass integrates closely with FFmpeg, exposing powerful capabilities such as transcoding, filtering, and format conversion without requiring command-line interaction. ... -
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SpikingJelly
SpikingJelly is an open-source deep learning framework
...This makes it especially relevant for researchers interested in biologically inspired computing, event-driven processing, and energy-efficient AI systems. The framework includes neuron models, surrogate gradient training methods, encoding strategies, network components, and utilities for simulation and experimentation, allowing users to develop a wide variety of spiking architectures. It also supports integration with familiar PyTorch workflows, which lowers the barrier for machine learning practitioners who want to explore spiking approaches without abandoning mainstream tooling. -
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FastVLM
This repository contains the official implementation of FastVLM
FastVLM is an efficiency-focused vision-language modeling stack that introduces FastViTHD, a hybrid vision encoder engineered to emit fewer visual tokens and slash encoding time, especially for high-resolution images. Instead of elaborate pruning stages, the design trades off resolution and token count through input scaling, simplifying the pipeline while maintaining strong accuracy. Reported results highlight dramatic speedups in time-to-first-token and competitive quality versus contemporary open VLMs, including comparisons across small and larger variants. ... -
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LTX-Video
Official repository for LTX-Video
LTX-Video is a sophisticated multimedia processing framework from Lightricks designed to handle high-quality video editing, compositing, and transformation tasks with performance and scalability. It provides runtime components that efficiently decode, encode, and manipulate video streams, frame buffers, and audio tracks while exposing a rich API for building customized editing features like transitions, effects, color grading, and keyframe automation. The toolkit is built with both real-time... -
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Feature-engine
Feature engineering package with sklearn like functionality
Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models. Feature-engine's transformers follow Scikit-learn's functionality with fit() and transform() methods to learn the transforming parameters from the data and then transform it. -
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UForm
Multi-Modal Neural Networks for Semantic Search, based on Mid-Fusion
...It comes with a set of homonymous pre-trained networks available on HuggingFace portal and extends the transfromers package to support Mid-fusion Models. Late-fusion models encode each modality independently, but into one shared vector space. Due to independent encoding late-fusion models are good at capturing coarse-grained features but often neglect fine-grained ones. This type of models is well-suited for retrieval in large collections. The most famous example of such models is CLIP by OpenAI. Early-fusion models encode both modalities jointly so they can take into account fine-grained features. ... -
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waitress
A WSGI server for Python 3
...It runs on CPython on Unix and Windows under Python 3.7+. It is also known to run on PyPy 3 (python version 3.7+) on UNIX. It supports HTTP/1.0 and HTTP/1.1. Waitress now validates that chunked encoding extensions are valid, and don't contain invalid characters that are not allowed. They are still skipped/not processed, but if they contain invalid data we no longer continue in and return a 400 Bad Request. This stops potential HTTP desync/HTTP request smuggling. -
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Scrapy
A fast, high-level web crawling and web scraping framework
Scrapy is a fast, open source, high-level framework for crawling websites and extracting structured data from these websites. Portable and written in Python, it can run on Windows, Linux, macOS and BSD. Scrapy is powerful, fast and simple, and also easily extensible. Simply write the rules to extract the data, and add new functionality if you wish without having to touch the core. Scrapy does the rest, and can be used in a number of applications. It can be used for data mining, monitoring... -
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Toonily Downloader
A python tool for downloading manga from Toonily
...It uses concurrent downloading techniques to significantly speed up the process and includes robust error handling to recover from interruptions or failed downloads. Additionally, the tool allows users to convert downloaded chapters into high-quality PDF files without re-encoding images, ensuring fidelity to the original content. -
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xFormers
Hackable and optimized Transformers building blocks
xformers is a modular, performance-oriented library of transformer building blocks, designed to allow researchers and engineers to compose, experiment, and optimize transformer architectures more flexibly than monolithic frameworks. It abstracts components like attention layers, feedforward modules, normalization, and positional encoding, so you can mix and match or swap optimized kernels easily. One of its key goals is efficient attention: it supports dense, sparse, low-rank, and approximate attention mechanisms (e.g. FlashAttention, Linformer, Performer) via interchangeable modules. The library includes memory-efficient operator implementations in both Python and optimized C++/CUDA, ensuring that performance isn’t sacrificed for modularity. ... -
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latexcv
A collection of cv and resume templates written in LaTeX
A collection of user-friendly LaTeX CV and résumé templates (packaged within the R Markdown vitae ecosystem), offering simple themes and templates for creating professional CVs without heavy TeX coding. Supports multiple display themes such as classic, modern, sidebar layouts.
