Search Results for "loop-aes"
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Showing 69 open source projects for "loop-aes"
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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Our 360 recognition & rewards platform enables everyone (peer to peer & manager to employees alike) to send meaningful recognition rooted in core values. Nectar has the most extensive rewards catalog so users can choose from company branded swag, Amazon products, gift cards or custom reward types. Integrate with your other tools like Slack and Teams to make sending recognition easy. We support top organizations like MLB, SHRM, Redfin, Heineken and more.
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Mercury Browser
Privacy-focused web browser fork of Firefox
Mercury Browser is an optimized, privacy-focused web browser that is a fork of Mozilla Firefox. It incorporates compiler optimizations such as AVX, AES, LTO, and PGO to enhance performance and security. With features derived from projects like LibreWolf, Waterfox, and Ghostery, Mercury disables telemetry and debugging elements by default, ensuring a more private browsing experience. It also includes usability patches that bring back features like the classic top bar and supports unsigned... -
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uvicorn
An ASGI web server, for Python
Uvicorn is an ASGI web server implementation for Python. Until recently Python has lacked a minimal low-level server/application interface for async frameworks. The ASGI specification fills this gap, and means we're now able to start building a common set of tooling usable across all async frameworks. Uvicorn currently supports HTTP/1.1 and WebSockets. -
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PyTorch Lightning
The lightweight PyTorch wrapper for high-performance AI research
Scale your models, not your boilerplate with PyTorch Lightning! PyTorch Lightning is the ultimate PyTorch research framework that allows you to focus on the research while it takes care of everything else. It's designed to decouple the science from the engineering in your PyTorch code, simplifying complex network coding and giving you maximum flexibility. PyTorch Lightning can be used for just about any type of research, and was built for the fast inference needed in AI research and... -
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uvloop
Ultra fast asyncio event loop
uvloop is an ultra-fast, drop-in replacement of the built-in asyncio event loop. Together with asyncio and the power of async/await in Python 3.5, uvloop makes it easier than ever to write high-performance Python networking code. uvloop makes asyncio incredibly fast-- 2 to 4 times faster than nodejs, or any other Python asynchronous framework. The performance of asyncio when it is uvloop-based is almost comparable to that of Go programs. uvloop is written in Cython and is built on top... -
BackBox seamlessly integrates with network monitoring and NetOps platforms and automates configuration backups, restores, and change detection. BackBox also provides before and after config diffs for change management, and automated remediation of discovered network security issues.
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jrnl
Collect your thoughts and notes without leaving the command line
Collect your thoughts and notes without leaving the command line. jrnl has a natural-language interface so you don't have to remember cryptic shortcuts when you're writing down your thoughts. Your journals are stored in plain-text files that will still be readable in 50 years when all your fancy iPad apps will have gone the way of the Dodo. Encrypt your journals with industry-strength AES encryption. The NSA won't be able to read your dirty secrets. Sync your journals with Dropbox and capture... -
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LangGraph
Build resilient language agents as graphs
..., crucial for creating reliable agents. Additionally, LangGraph includes built-in persistence, enabling advanced human-in-the-loop and memory features. -
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Norfair
Lightweight Python library for adding real-time multi-object tracking
..., it is possible to build a video inference loop from scratch using just Norfair and a detector. Supports moving camera, re-identification with appearance embeddings, and n-dimensional object tracking. Norfair provides several predefined distance functions to compare tracked objects and detections. The distance functions can also be defined by the user, enabling the implementation of different tracking strategies. -
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Transcrypt
Python 3.7 to JavaScript compiler
... prompt using stubs. Lightning-fast JavaScript 6 code: call caching, for-loop optimization, in-line JavaScript etc. Integrated static typechecking and minification at the tip of a command-line switch. Also runs on top of node.js. Extensive documentation with many code examples. Apache 2.0 license. Pip-install and go! Seamless integration with the universe of high-quality web-oriented JavaScript libraries, rather than the desktop-oriented Python ones. -
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Habitat-Lab
A modular high-level library to train embodied AI agents
Habitat-Lab is a modular high-level library for end-to-end development in embodied AI. It is designed to train agents to perform a wide variety of embodied AI tasks in indoor environments, as well as develop agents that can interact with humans in performing these tasks. Allowing users to train agents in a wide variety of single and multi-agent tasks (e.g. navigation, rearrangement, instruction following, question answering, human following), as well as define novel tasks. Configuring and... -
Send and receive SMS and fax online, from email, app or with our developer friendly SMS & fax API. HIPAA compliant & ISO 27001 certified. Outstanding value and 5-star service.
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PyKEEN
A Python library for learning and evaluating knowledge graph embedding
PyKEEN (Python KnowlEdge EmbeddiNgs) is a Python package designed to train and evaluate knowledge graph embedding models (incorporating multi-modal information). PyKEEN is a Python package for reproducible, facile knowledge graph embeddings. PyKEEN has a function pykeen.env() that magically prints relevant version information about PyTorch, CUDA, and your operating system that can be used for debugging. If you’re in a Jupyter Notebook, it will be pretty-printed as an HTML table. -
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SuperAGI
A dev-first open source autonomous AI agent framework
... Vector DBs to enhance your agent’s performance. Each agent is unique, use different models of your choice. Get insights into your agent’s performance and optimize accordingly. Control token usage to manage costs effectively. Enable your agents to learn and adapt by storing their memory. Get notified when agents get stuck in the loop, and provide proactive resolution. Read and store files generated by Agents. -
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Toloka-Kit
Toloka-Kit is a Python library for working with Toloka API
Toloka-Kit is a Python library for working with Toloka API. The API allows you to build scalable and fully automated human-in-the-loop ML pipelines, and integrate them into your processes. The toolkit makes integration easier. You can use it with Jupyter Notebooks. Support for all common Toloka use cases: creating projects, adding pools, uploading tasks, and so on. Toloka entities are represented as Python classes. You can use them instead of accessing the API using JSON representations... -
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Open Source Vizier
Python-based research interface for blackbox
... for research and to be hosted in the service. A wide collection of objective functions and methods to benchmark and compare algorithms. Define a problem statement and study configuration. Setup a local server, setup a client to connect to the server, perform a typical tuning loop, and use other client APIs. -
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NannyML
Detecting silent model failure. NannyML estimates performance
NannyML is an open-source python library that allows you to estimate post-deployment model performance (without access to targets), detect data drift, and intelligently link data drift alerts back to changes in model performance. Built for data scientists, NannyML has an easy-to-use interface, and interactive visualizations, is completely model-agnostic, and currently supports all tabular classification use cases. NannyML closes the loop with performance monitoring and post deployment data... -
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High-Level Training Utilities Pytorch
High-level training, data augmentation, and utilities for Pytorch
... loading, or sampling functions. ModuleTrainer. The ModuleTrainer class provides a high-level training interface that abstracts away the training loop while providing callbacks, constraints, initializers, regularizers, and more. You also have access to the standard evaluation and prediction functions. Torchsample provides a wide range of callbacks, generally mimicking the interface found in Keras. -
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PML
The easiest way to use deep metric learning in your application
This library contains 9 modules, each of which can be used independently within your existing codebase, or combined together for a complete train/test workflow. To compute the loss in your training loop, pass in the embeddings computed by your model, and the corresponding labels. The embeddings should have size (N, embedding_size), and the labels should have size (N), where N is the batch size. The TripletMarginLoss computes all possible triplets within the batch, based on the labels you pass... -
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TensorFlow Model Garden
Models and examples built with TensorFlow
... are suitable. A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU). -
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TensorBoardX
tensorboard for pytorch (and chainer, mxnet, numpy, etc.)
The SummaryWriter class provides a high-level API to create an event file in a given directory and add summaries and events to it. The class updates the file contents asynchronously. This allows a training program to call methods to add data to the file directly from the training loop, without slowing down training. TensorboardX now supports logging directly to Comet. Comet is a free cloud based solution that allows you to automatically track, compare and explain your experiments. It adds a lot... -
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Catalyst
Accelerated deep learning R&D
Catalyst is a PyTorch framework for accelerated Deep Learning research and development. It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make... -
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footswitch2
Audio Transcription software for Linux (Vlc) with a foot pedal
Footswitch 2 is a media player for transcribers on Linux. Written in python and using the python bindings for VLC it allows a transcriber to control the audio or video with a USB footpedal, and includes a set of macros that integrate into LibreOffice. This allows the transcriber to control the media player from within Libreoffice as well, making it useful for those who do not yet own a footpedal/footswitch. Control of the media player from LibreOffice can be via Hotkeys or an integrated... -
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Yukki Music Bot
Telegram Group Calls Streaming bot with some useful features
Yukki Music Bot is a Powerful Telegram Music+Video Bot written in Python using Pyrogram and Py-Tgcalls by which you can stream songs, video and even live streams in your group calls via various sources. -
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Electronic Shelf Label Management System
DIY Electronic Shelf Label Management System
This ESL management system incorporates the electronic shelf labels and the ESL management software. The ESL management software enables you to manage your electronic shelf labels. It accomplishes this by maintaining a database with the credentials of each ESL and the last image that was sent to it. When you choose the image to be displayed on the ESL and hit the "Send Image To ESL" button, the software encrypts that image, sends it to the specified ESL over Wi-Fi using the UDP protocol,... -
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TextureAtlas Extractor and GIF Generator
A tool that extracts all frames from a folder with spritesheets
This tool simplifies the process of extracting frames from sprite sheets, organizing them into individual folders, and optionally creating GIFs/WebPs. Current Spritesheet types supported * Sparrow * Starling * Packer TXT Do NOT download this tool from unofficial sources, I'm not responsible for any damage caused by this app when downloading from any other sites than the official pages for the tool on GameBanana, SourceForge and this GitHub repository. Official Download Sites: *... -
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footswitch2basic
Audio Transcription software for Linux (Vlc) with a foot pedal
Footswitch 2 (Basic) is a media player for transcribers on Linux. This version is a stripped down version of Footswitch2, containing only the absolute essentials for transcription. Written in python and using the python bindings for VLC it allows a transcriber to control the audio or video with a footpedal, and includes a set of macros that integrate into LibreOffice. This allows the transcriber to control the media player from within Libreoffice as well, making it useful for those who do... -
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footswitch3
Audio Transcription software for Linux (Gstreamer) with a foot pedal
Footswitch 3 is a media player for transcribers on Linux. Written in python using the python bindings for Gstreamer it allows a transcriber to control the audio or video with a foot pedal, and includes a set of macros that integrate into LibreOffice. This allows the transcriber to control the media player from within Libreoffice as well, making it useful for those who do not yet own a foot pedal/foot switch. Control of the media player from LibreOffice can be via Hotkeys or an integrated...