Search Results for "compression" - Page 6
Sort By:
Showing 711 open source projects for "compression"
View related business solutions-
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.
-
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.
-
1
imagemin
Minify images seamlessly
With imagemin, you can minify images seamlessly. Uncompressed images bloat your pages with unnecessary bytes. Imagemin is an excellent choice for image compression because it supports a wide variety of image formats and is easily integrated with build scripts and build tools. Imagemin is available as both a CLI and an npm module. Generally, the npm module is the best choice because it offers more configuration options, but the CLI can be a decent alternative if you want to try Imagemin without touching any code. ... -
2
Advanced + Agentic RAG Cookbooks
Advanced RAG cookbooks for building accurate LLM applications
...Athina AI’s RAG Cookbooks covers the full RAG pipeline, including indexing, retrieval, augmentation, and generation, while also addressing evaluation to measure accuracy and relevance. It includes multiple approaches such as hybrid search, contextual compression, and agent-based retrieval strategies, allowing users to experiment and compare methods. It is designed to reduce development time by offering practical examples and references to research papers, making it useful for both learning and production use. Overall, it serves as a hands-on resource for improving LLM outputs using external data sources. -
3
LLM-Pruner
On the Structural Pruning of Large Language Models
LLM-Pruner is an open-source framework designed to compress large language models through structured pruning techniques while maintaining their general capabilities. Large language models often require enormous computational resources, making them expensive to deploy and inefficient for many practical applications. LLM-Pruner addresses this issue by identifying and removing non-essential components within transformer architectures, such as redundant attention heads or feed-forward... -
4
OpenUSD
Universal Scene Description
...One such feature is Hydra, a high-performance preview renderer capable of interactively displaying large data sets. USD supports a variety of file formats, including usda, usdc, and usdz (a zero-compression, unencrypted zip archive), facilitating flexibility in data representation and exchange. The framework also includes tools like usdedit, a script that converts any single USD-readable file into its .usda text equivalent for easy editing. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
5
HTTP Server
A non-blocking HTTP application server for PHP based on Amp
This package provides a non-blocking HTTP/1.1 and HTTP/2 application server written in PHP based on Amp. Several features are provided in separate packages, such as the WebSocket component. The package was previously named amphp/aerys, but has been renamed to be easier to remember, as many people were having issues with the old name. Amp’s HTTP server is a non-blocking HTTP/1.1 and HTTP/2 application server written in PHP. This means that there’s no Apache or Nginx required to serve PHP... -
6
GIFLIB
A library and utilities for processing GIFs
giflib is a library for reading and writing gif images. It is API and ABI compatible with libungif which was in wide use while the LZW compression algorithm was patented. -
7
MSA: Memory Sparse Attention
Trainable latent-memory framework for 100M-token contexts
MSA, or Memory Sparse Attention, is a research framework for scaling language-model memory to extremely long contexts. It replaces full attention over all tokens with sparse selection of compressed latent memory states. Document-wise rotary position encoding and top-k routing keep training and inference close to linear complexity. A tiered KV-cache design stores routing keys on GPU while larger content states can remain on CPU. Its Memory Parallel engine distributes scoring and transfers... -
8
Oil Motion
Create smooth, responsive interactive web animations
Oil Motion is an agent-agnostic skill for creating smooth interactive animations for websites and digital interfaces. Users describe the desired movement, available assets, and the interaction that should control it while the agent manages the production workflow. The system defines key states, generates continuous motion between them, reviews frames, removes artifacts, and prepares optimized assets. Animation progress can then be mapped to scrolling, mouse movement, dragging, touch input,... -
9
rpcx
Best microservices framework in Go, like alibaba Dubbo
...The framework supports multiple transports, codecs, discovery backends, governance tools, and resiliency patterns. It includes features for failover, load balancing, compression, metadata, authorization, heartbeat checks, circuit breaking, and bidirectional communication. rpcx is useful for teams that want a flexible RPC layer with service discovery, gateway access, and extensibility built into the same ecosystem. -
Veeam Data Platform v13.1 - Get Your Free TrialTry Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
10
Scrimage
JVM - Java, Kotlin, Scala image processing library
...A typical use case for this library would be creating thumbnails of images uploaded by users in a web app, bounding a set of product images so that they all have the same dimensions, optimizing PNG uploads by users to apply maximum compression, or applying a grayscale filter in a print application. -
11
JDF.jl
Julia DataFrames serialization format
...Collectively, the column files, the metadata file, and the folder is called a JDF "file". JDF.jl is a pure-Julia solution and there are a lot of ways to do nifty things like compression and encapsulating the underlying struture of the arrays that's hard to do in R and Python. E.g. Python's numpy arrays are C objects, but all the vector types used in JDF are Julia data types. -
12
log4rs
A highly configurable logging framework for Rust
log4rs is a highly configurable logging framework modeled after Java's Logback and log4j libraries. If you are using the file rotation in your configuration there is a known substantial performance issue so listen up! By default the gzip feature is enabled and when rolling files it will zip log archives automatically. This is a problem when the log archives are large as the zip happens in the main thread and will halt the process while the zip is completed. Be advised that the gzip feature... -
13
trdsql
CLI tool that can execute SQL queries on CSV, LTSV, JSON and TBLN
...Download binary from the releases page(Linux/Windows/macOS). Pull the latest image from the Docker hub. The filename of -out filename option determines the output format(csv, ltsv, json, tbln, raw, md, at, vf, jsonl) and compression format(gzip, bz2, zstd,lz4, xz) by guess. -
14
websocket for Go
Minimal and idiomatic WebSocket library for Go
...JSON and protobuf helpers in the wsjson and wspb subpackages. Zero alloc reads and writes. Concurrent writes. Close handshake. net.Conn wrapper. Ping pong API. RFC 7692 permessage-deflate compression. Compile to Wasm. Transparent message buffer reuse with wsjson and wspb subpackages. Gorilla writes directly to a net.Conn and so duplicates features of net/http.Client. Gorilla requires registering a pong callback before sending a Ping. Compare godoc of nhooyr.io/websocket with gorilla/websocket side by side. Will enable easy HTTP/2 support in the future. -
15
Responder
A familiar HTTP Service Framework for Python
...This gets you a ASGI app, with a production static files server (WhiteNoise) pre-installed, jinja2 templating (without additional imports), and a production web server based on uvloop, serving up requests with gzip compression automatically. A pleasant API, with a single import statement. Class-based views without inheritance. ASGI framework, the future of Python web services. WebSocket support! The ability to mount any ASGI / WSGI app at a subroute. f-string syntax route declaration. Mutable response object passed into each view. No need to return anything. ... -
16
TDengine
Open-source time-series database with high-performance and scalability
...TDengine can be widely applied to IoT, Industrial Internet, Connected Vehicles, DevOps, Energy , Finance and many other use-cases. TDengine’s innovative design and purpose-built storage engine outperforms other time-series databases for data ingestion, querying and data compression while significantly reducing storage and computing costs. TDengine’s native distributed architecture powers out-of-the-box scalability and high availability. Nodes can be added through simple configuration to achieve greater data processing power. In addition, this feature is open source. TDengine uses SQL as the query language, thereby reducing learning and migration costs, while adding SQL extensions to handle time-series data better, and supporting convenient and flexible schemaless data ingestion. -
17
Upscale-A-Video
Temporal-Consistent Diffusion Model for Real-World Video
Upscale-A-Video is a diffusion-based video super-resolution project from the CVPR 2024 Highlight paper “Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution.” It upscales low-resolution videos while using text prompts to guide the enhancement process. The model is designed for real-world videos where compression artifacts, blur, aging, or generated-video defects can make ordinary upscaling less reliable. The repository includes inference code, example inputs, configuration structure, pretrained model instructions, and optional LLaVA-assisted prompt support. It includes example workflows for AIGC videos, old videos, movies, and animations. ... -
18
IoTDB
Apache IoTDB
Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields. In the scene of factories, there... -
19
SuperBased
Local-first control plane for AI coding agents
...Data stays on the user's machine by default, with no telemetry or remote reporting unless optional cloud features are explicitly enabled. SuperBased also supports backfills, resumable sessions, Tailscale-based remote viewing, and configurable compression profiles. -
20
ArcticDB
ArcticDB is a high performance, serverless DataFrame database
...Giving you the keys to protect your most valuable asset. Supports large concurrent writes to many tables ensuring datasets can be onboarded fast and in the most convenient format. Scale-out architecture and built-in compression ensure that networks and storage are utilized efficiently. Support for DataFrames with thousands of columns enables large trading universes. -
21
IXWebSocket
websocket and http client and server library, with TLS support
IXWebSocket is a C++ library for WebSocket client and server development. It has minimal dependencies (no boost), is very simple to use and support everything you'll likely need for websocket dev (SSL, deflate compression, compiles on most platforms, etc...). HTTP client and server code is also available, but it hasn't received as much testing. It is been used on big mobile video game titles sending and receiving tons of messages since 2017 (iOS and Android). It was tested on macOS, iOS, Linux, Android, Windows and FreeBSD. Two important design goals are simplicity and correctness. -
22
TACHYONS
Functional CSS for humans
...Growing open source component library. Works well with plain HTML, React, Ember, Angular, Rails and more. Infinitely nestable responsive grid system. Built with PostCSS. Optimized for maximum gzip compression. -
23
librdkafka
The Apache Kafka C/C++ library
librdkafka is a C library implementation of the Apache Kafka protocol, providing Producer, Consumer and Admin clients. It was designed with message delivery reliability and high performance in mind, current figures exceed 1 million msgs/second for the producer and 3 million msgs/second for the consumer. librdkafka is licensed under the 2-clause BSD license. KAFKA is a registered trademark of The Apache Software Foundation and has been licensed for use by librdkafka. librdkafka has no... -
24
AV1 AVIF
AV1 Image File Format Specification - ISO-BMFF/HEIF derivative
AV1 AVIF is the official specification and reference design for the AV1 Image File Format (AVIF), defining how AV1-encoded bitstreams are packaged into the HEIF container format (based on ISOBMFF) to produce AVIF files. The project outlines the syntax and semantics required for AVIF compliance, including support for multiple image profiles, color depths, chroma subsampling modes, HDR/WCG, alpha channels, animation/image sequences, and various color-space/bit-depth combinations — making AVIF... -
25
Torch Pruning
DepGraph: Towards Any Structural Pruning
...Torch-Pruning physically removes parameters rather than masking them, which results in smaller and faster models during both training and inference. The toolkit supports a wide variety of architectures used in computer vision and large language models, making it a flexible solution for model compression tasks.
