Search Results for "k-meleon"
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Showing 715 open source projects for "k-meleon"
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K-9 Mail
Open Source Email App for Android
K-9 Mail is an advanced, open-source email client for Android that's focused on making it easy to chew through large volumes of email. It's designed to be easy to use by both novice and power users, with plenty of useful features. It has IMAP push email support, support for multiple accounts, support for POP3 and Exchange 2003/2007 (with WebDAV), flagging, filing, signatures and more! K-9 Mail also offers a light and dark theme, keyboard shortcuts and emoji support. Like man's best friend, K-9... -
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Krypto-trading-bot
Self-hosted crypto trading bot, automated high frequency market
K is a family of (very customizable) very low latency market-making trading bots with a fully featured web interface. It can place and cancel orders on one of the several compatible exchanges in less than a few milliseconds per order on a decent machine. If you don't want to configure or hardcode your own trading strategies in your own machine, you can run strategies from someone else at kryll.io (or at any other trading community out there). Our bots run on unix-like systems. Persistence... -
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Zinnia
Runtime for worker nodes executing modules
Zinnia is a runtime for Filecoin Station modules. It provides a sandboxed environment to execute untrusted code on consumer-grade computers. Zinnia is a sandboxed and resource-limited runtime for distributed workers. This crate provides the zinnia executable to run modules locally, e.g. while developing. -
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Canvas LMS
The open LMS by Instructure, Inc.
Canvas LMS is a full-featured learning management system designed for K–12, higher-ed, and professional training, with a strong emphasis on usability and openness. Instructors build courses from modular content—pages, assignments, discussions, quizzes—and organize them into learning paths with prerequisites and due dates. Rich grading tools like SpeedGrader streamline assessment with rubrics, inline annotations, and audio/video feedback, while the gradebook supports weighting, outcomes... -
Gen AI apps are built with MongoDB AtlasMongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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dlib
Toolkit for making machine learning and data analysis applications
Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. Dlib's open source licensing allows you to use it in any application, free of charge. Good unit test coverage, the ratio of unit test lines of code to library lines of code is... -
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GoAWK
A POSIX-compliant AWK interpreter written in Go, with CSV support
GoAWK now uses a bytecode compiler and includes native support for CSV files. AWK is a fascinating text processing language, and The AWK Programming Language is a wonderfully concise book describing it. The A, W, and K in AWK stand for the surnames of the three original creators: Alfred Aho, Peter Weinberger, and Brian Kernighan. Kernighan is also an author of The C Programming Language (“K&R”), and the two books have that same each-page-packs-a-punch feel. AWK was released in 1977, which makes... -
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MatlabMachine
Machine learning algorithms
Matlab-Machine is a comprehensive collection of machine learning algorithms implemented in MATLAB. It includes both basic and advanced techniques for classification, regression, clustering, and dimensionality reduction. Designed for educational and research purposes, the repository provides clear implementations that help users understand core ML concepts. -
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Bloom filters
Go package implementing Bloom filters
A Bloom filter is a concise/compressed representation of a set, where the main requirement is to make membership queries; i.e., whether an item is a member of a set. A Bloom filter will always correctly report the presence of an element in the set when the element is indeed present. A Bloom filter can use much less storage than the original set, but it allows for some 'false positives': it may sometimes report that an element is in the set whereas it is not. When you construct, you need to... -
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DINOv2
PyTorch code and models for the DINOv2 self-supervised learning
..., detection, and segmentation—often requiring little or no fine-tuning. The repository includes code for training, evaluating, and feature extraction, with utilities to run k-NN or linear evaluation baselines to assess representation quality. Pretrained checkpoints cover multiple model sizes so practitioners can trade accuracy for speed and memory depending on their deployment constraints. -
The All-in-One Commerce Platform for Businesses - ShopifyShopify is a leading all-in-one commerce platform that enables businesses to start, build, and grow their online and physical stores. It offers tools to create customized websites, manage inventory, process payments, and sell across multiple channels including online, in-person, wholesale, and global markets. The platform includes integrated marketing tools, analytics, and customer engagement features to help merchants reach and retain customers. Shopify supports thousands of third-party apps and offers developer-friendly APIs for custom solutions. With world-class checkout technology, Shopify powers over 150 million high-intent shoppers worldwide. Its reliable, scalable infrastructure ensures fast performance and seamless operations at any business size.
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GPT-2 Output Dataset
Dataset of GPT-2 outputs for research in detection, biases, and more
The GPT-2 Output Dataset is a large collection of model-generated text, released by OpenAI alongside the GPT-2 research paper to study the behaviors and limitations of large language models. It contains 250,000 samples of GPT-2 outputs, generated with different sampling strategies such as top-k truncation, to highlight the diversity and quality of model completions. The dataset also includes corresponding human-written text for comparison, enabling researchers to explore methods... -
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Nebula libp2p DHT
A libp2p DHT crawler, monitor, and measurement tool
A libp2p DHT crawler and monitor that tracks the liveness of peers. The crawler connects to DHT bootstrap peers and then recursively follows all entries in their k-buckets until all peers have been visited. The crawler supports the IPFS, Filecoin, Polkadot, Kusama, Rococo, Westend networks and more. The crawler can store its results as JSON documents or in a postgres database - the --dry-run flag prevents it from doing either. Nebula will print a summary of the crawl at the end instead. A crawl... -
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Kubie
A more powerful alternative to kubectx and kubens
kubie is an alternative to kubectx, kubens, and the k on prompt modification script. It offers context switching, namespace switching, and prompt modification in a way that makes each shell independent from others. It also has support for split configuration files, meaning it can load Kubernetes contexts from multiple files. You can configure the paths where Kubie will look for contexts, see the settings section. Kubie also has other nice features such as kubie exec which allows you to execute... -
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httpstat
It's like curl -v, with colours
Windows/BSD/Linux supported, HTTP and HTTPS supported as well. For self-signed certificates use -k, and skip timing the body of a response with -I. Follow 30x redirects with -L. Change HTTP method with -X METHOD. Provide a PUT or POST request body with -d string. To supply the PUT or POST body as a file, use -d @filename. Add extra request headers with -H 'Name: value'. The response body is usually discarded, you can use -o filename to save it to a file, or -O to save it to the file name... -
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VimFx
Vim keyboard shortcuts for Firefox
VimFx brings Vim-inspired navigation and command mode to Firefox via WebExtensions. It allows users to control the browser with keyboard shortcuts (h/j/k/l), open tabs, follow links, find text, and execute commands—all without a mouse. It mimics Vim’s Normal/Insert modes, enabling power users to browse efficiently. It is open-source and integrates seamlessly with Firefox. -
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Hotkey
Trigger an action on an element with a keyboard shortcut
Trigger an action on a target element when the hotkey (key or sequence of keys) is pressed on the keyboard. This triggers a focus event on form fields or a click event on other elements. By default, hotkeys are extracted from a target element's data-hotkey attribute, but this can be overridden by passing the hotkey to the registering function (install) as a parameter. -
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kubeinvaders
Gamified Chaos Engineering Tool for Kubernetes
This project is part of the landscape of Cloud Native Computing Foundation in the Observability and Analysis - Chaos Engineering section. Backed by the teams at platform engineering.it and devopstribe.it, which provides enterprise-grade features and certified resilience services for your Kubernetes infrastructure. -
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DocArray
The data structure for multimodal data
... science powerhouse: greatly accelerate data scientists’ work on embedding, k-NN matching, querying, visualizing, evaluating via Torch/TensorFlow/ONNX/PaddlePaddle on CPU/GPU. Data in transit: optimized for network communication, ready-to-wire at anytime with fast and compressed serialization in Protobuf, bytes, base64, JSON, CSV, DataFrame. Perfect for streaming and out-of-memory data. One-stop k-NN: Unified and consistent API for mainstream vector databases. -
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TreeQuest
A Tree Search Library with Flexible API for LLM Inference-Time Scaling
TreeQuest, developed by SakanaAI, is a versatile Python library implementing adaptive tree search algorithms—such as AB‑MCTS—for enhancing inference-time performance of large language models (LLMs). It allows developers to define custom state-generation and scoring functions (e.g., via LLMs), and then efficiently explores possible answer trees during runtime. With support for multi-LLM collaboration, checkpointing, and mixed policies, TreeQuest enables smarter, trial‑and‑error question... -
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better-escape.nvim
Map keys without delay when typing
A lot of people have mappings like jk or jj to escape insert mode. The problem with these mappings is that whenever you type a j, neovim wait about 100-500ms (depending on your timeoutlen) to see if you type a j or a k because these are mapped. Only after that time, the j will be inserted. Then you always get a delay when typing a j. -
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harmonypy
Integrate multiple high-dimensional datasets with fuzzy k-means
Harmony is an algorithm for integrating multiple high-dimensional datasets. harmonypy is a port of the harmony R package by Ilya Korsunsky. Harmony is a general-purpose R package with an efficient algorithm for integrating multiple data sets. It is especially useful for large single-cell datasets such as single-cell RNA-seq. -
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solo-learn
Library of self-supervised methods for visual representation
A library of self-supervised methods for visual representation learning powered by Pytorch Lightning. A library of self-supervised methods for unsupervised visual representation learning powered by PyTorch Lightning. We aim at providing SOTA self-supervised methods in a comparable environment while, at the same time, implementing training tricks. The library is self-contained, but it is possible to use the models outside of solo-learn. -
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DashMap
Blazing fast concurrent HashMap for Rust
Blazingly fast concurrent map in Rust. DashMap is an implementation of a concurrent associative array/hashmap in Rust. DashMap tries to implement an easy-to-use API similar to std::collections::HashMap with some slight changes to handle concurrency. DashMap tries to be very simple to use and to be a direct replacement for RwLock<HashMap<K, V>>. To accomplish these goals, all methods take &self instead of modifying methods taking &mut self. This allows you to put a DashMap in an Arc<T> and share... -
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Hotkeys JS
A robust Javascript library for capturing keyboard input
hotkeys-js is a tiny, framework-agnostic library for binding keyboard shortcuts in the browser, from simple key presses to complex combos and sequences. It provides a declarative API to register handlers like ctrl+k, shift+alt+p, or g g, and it normalizes key behavior across major browsers. The library includes scoping, so the same shortcut can trigger different actions depending on page context, and it offers filters to ignore inputs when the user is typing in form fields. You can enable... -
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Homemade Machine Learning
Python examples of popular machine learning algorithms
...: you’ll see linear regression, logistic regression, k-means clustering, neural nets, decision trees, etc., built in Python using fundamentals like NumPy and Matplotlib, not hidden behind API calls. It is well suited for learners who want to move beyond library usage to understand how algorithms operate internally—how cost functions, gradients, updates and predictions work. -
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Emacs Markdown Mode
Emacs Markdown Mode
... in Emacs, extensions, configuration examples, tips and tricks, and a survey of other packages that work with Markdown Mode. Finally, Emacs is also a self-documenting editor. This means that the source code itself contains additional documentation: each function has its own docstring available via C-h f (describe-function), individual keybindings can be investigated with C-h k (describe-key), and a complete list of keybindings is available using C-h m (describe-mode).
