Search Results for "k turtle for windows"
Sort By:
Showing 534 open source projects for "k turtle for windows"
View related business solutions-
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.
-
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.
-
1
k-skill
Skill collection for Koreans - SRT, KTX, KakaoTalk, Hangul
The k-skill project is an AI skill management framework designed to organize, structure, and execute reusable capabilities within AI-driven development environments. It focuses on defining skills as modular, composable units that can be invoked by agents to perform specific tasks such as coding, reasoning, or automation. The system provides a standardized structure for skills, enabling consistency across different workflows and improving interoperability between tools. It is designed to... -
2
Simple Turtle LOGO
Free Educational Tool for Beginner LOGO Coding (STEM Students / Kids)
SIMPLE TURTLE ================ Create simple LOGO programs with commands to control the Turtle and draw amazing images!! Use for STEM, Coderdojo or similar coding events. Recursive REPEAT statements. INSTANT ON / OFF = Turns on / off immediate execution of commands FD x = Forward x pixels BK x = Backward x pixels RT x = Right by x degrees LT x = Left by x degrees PU = Pen Up (Do not draw) PD = Pen Down (Draw) REPEAT x = Creates a loop to run x times which... -
3
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. -
4
K-Pomodoro
Lightweight Pomodoro timer for Windows
K-Pomodoro is a minimalist Pomodoro timer for Windows. Stay focused with timed work sessions and short breaks, all tracked through a clean, distraction-free interface. Features: - Configurable work cycles (2–8 sessions per day) - 25-minute work sessions with 5-minute breaks - Visual progress grid — see exactly where you are in your day - Work log — review completed sessions with notes and next-session hints - Dark, minimal UI that stays out of your way - No ads, no accounts, no internet connection required Perfect for students, developers, writers, and anyone who wants to build a focused daily work habit. -
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
5
Kronos
A Foundation Model for the Language of Financial Markets
Kronos is a specialized open-source foundation model designed for analyzing and predicting financial market data using time-series representations of candlestick patterns. It is built as a decoder-only Transformer model trained specifically on K-line data, which captures open, high, low, close, and volume information across multiple global exchanges. The system introduces a novel tokenization approach that converts continuous financial data into discrete tokens, enabling the model to process... -
6
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. -
7
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. -
8
DINOv2
PyTorch code and models for the DINOv2 self-supervised learning
DINOv2 is a self-supervised vision learning framework that produces strong, general-purpose image representations without using human labels. It builds on the DINO idea of student–teacher distillation and adapts it to modern Vision Transformer backbones with a carefully tuned recipe for data augmentation, optimization, and multi-crop training. The core promise is that a single pretrained backbone can transfer well to many downstream tasks—from linear probing on classification to retrieval,... -
9
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... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
-
10
bitsandbytes
Accessible large language models via k-bit quantization for PyTorch
bitsandbytes is an open-source library designed to make training and inference of large neural networks more efficient by dramatically reducing memory usage. Built primarily for the PyTorch ecosystem, the library introduces advanced quantization techniques that allow models to operate using reduced numerical precision while maintaining high accuracy. These optimizations enable large language models and other deep learning architectures to run on hardware with limited memory resources,... -
11
Luxor
Simple drawings using vector graphics; Cairo "for tourists!"
Luxor is a Julia package for drawing simple static 2D vector graphics. It provides basic drawing functions and utilities for working with shapes, polygons, clipping masks, PNG and SVG images, turtle graphics, and simple animations. The focus of Luxor is on simplicity and ease of use: it should be easier to use than plain Cairo.jl, with shorter names, fewer underscores, default contexts, and simplified functions. For more complex and sophisticated graphics in 2D and 3D, Makie.jl is the best... -
12
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. -
13
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... -
14
DocArray
The data structure for multimodal data
DocArray is a library for nested, unstructured, multimodal data in transit, including text, image, audio, video, 3D mesh, etc. It allows deep-learning engineers to efficiently process, embed, search, recommend, store, and transfer multimodal data with a Pythonic API. Door to multimodal world: super-expressive data structure for representing complicated/mixed/nested text, image, video, audio, 3D mesh data. The foundation data structure of Jina, CLIP-as-service, DALL·E Flow, DiscoArt etc. Data... -
15
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. -
16
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. -
17
H-K-Systems-Utils Android utils by H-K-Systems
-
18
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. -
19
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'. -
20
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... -
21
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... -
22
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 is... -
23
Machine Learning Octave
MatLab/Octave examples of popular machine learning algorithms
This repository contains MATLAB / Octave implementations of popular machine learning algorithms, along with explanatory code and mathematical derivations, intended as educational material rather than production code. Implementations of supervised learning algorithms (linear regression, logistic regression, neural nets). The author’s goal is to help users understand how each algorithm works “from scratch,” avoiding black-box library calls. Code written so as to expose and comment on... -
24
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... -
25
Machine learning basics
Plain python implementations of basic machine learning algorithms
Machine learning basics repository is an educational project that provides plain Python implementations of fundamental machine learning algorithms designed to help learners understand how these methods work internally. Instead of relying on external machine learning libraries, the algorithms are implemented from scratch so that users can explore the mathematical logic and computational structure behind each technique. The repository includes notebooks that demonstrate classic algorithms such...
