Search Results for "ios time machine"
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Showing 704 open source projects for "ios time machine"
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1
Geode iOS Launcher
Manages installing and launching Geometry Dash for iOS
Geode iOS Launcher is a specialized utility designed to install, manage, and launch a modified version of Geometry Dash with Geode modding support on iOS devices, overcoming Apple’s restrictive app distribution policies through sideloading techniques. It acts as a bridge between the Geode modding ecosystem and iOS, enabling users to run modded versions of the game without requiring a traditional jailbreak. -
2
UTM
Virtual machines for iOS and macOS
UTM is a full-featured system emulator and virtual machine host for iOS and macOS. It is based off of QEMU. In short, it allows you to run Windows, Linux, and more on your Mac, iPhone, and iPad. UTM/QEMU requires dynamic code generation (JIT) for maximum performance. JIT on iOS devices requires either a jailbroken device or one of the various workarounds found for specific versions of iOS. -
3
Slack Machine
A simple, yet powerful and extendable Slack bot
Slack Machine is a simple, yet powerful and extendable Slack bot framework. More than just a bot, Slack Machine is a framework that helps you develop your Slack workspace into a ChatOps powerhouse. Slack Machine is built with an intuitive plugin system that lets you build bots quickly but also allows for easy code organization. A plugin can look as simple as this: -
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Countly iOS SDK
Countly Product Analytics iOS SDK with macOS, watchOS and tvOS support
Countly SDK for iOS is an analytics SDK for integrating real-time event tracking, user profiles, crash reporting, and push notifications into iOS apps. It provides detailed insights into user behavior and app performance. -
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5
The Machine & Deep Learning Compendium
List of references in my private & single document
The Machine & Deep Learning Compendium is an open-source knowledge repository that compiles summaries, references, and learning materials related to machine learning and deep learning. The project functions as a comprehensive compendium that organizes hundreds of topics covering algorithms, frameworks, research areas, and practical machine learning workflows. -
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machine learning tutorials
machine learning tutorials (mainly in Python3)
...Topics covered include classical machine learning algorithms, deep learning models, reinforcement learning, model deployment, and time-series analysis. The repository integrates numerous popular machine learning frameworks and libraries such as scikit-learn, PyTorch, TensorFlow, XGBoost, and Hugging Face. It aims to strike a balance between theoretical explanation and practical coding by demonstrating algorithms both from scratch and using established libraries. ... -
7
Asimov
Automatically exclude development dependencies from Apple Time backups
Automatically exclude development dependencies from Apple Time Machine backups. For macOS users, Time Machine is a no-frills, set-it-and-forget-it solution for on-site backups. Plug in an external hard drive (or configure a network storage drive), and your Mac's files are backed up. For the average consumer, Time Machine is an excellent choice, especially considering many Mac owners may only have Time Machine as a backup strategy. ... -
8
Parse Apple SDK
The Apple SDK for Parse Platform (iOS, macOS, watchOS, tvOS)
Parse-SDK-iOS-OSX is an open-source backend framework for iOS and macOS applications. It allows developers to manage data storage, authentication, and real-time functionality with minimal backend setup. -
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Homemade Machine Learning
Python examples of popular machine learning algorithms
homemade-machine-learning is a repository by Oleksii Trekhleb containing Python implementations of classic machine-learning algorithms done “from scratch”, meaning you don’t rely heavily on high-level libraries but instead write the logic yourself to deepen understanding. Each algorithm is accompanied by mathematical explanations, visualizations (often via Jupyter notebooks), and interactive demos so you can tweak parameters, data, and observe outcomes in real time. -
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10
Kazumi
Flutter-based, rule-driven anime collection
...It allows users to define custom scraping rules using XPath-style selectors (up to five lines) to collect anime metadata and streaming sources. The app supports streaming with real-time super resolution (via Anime4K), danmaku (on-screen comments), multiple video sources, offline caching, and even collaborative watching modes. It targets many platforms (Android, iOS, Windows, macOS, Linux) and supports custom rule importing and sharing. The interface includes features like search, schedule, history, subtitles, and rule editing. ... -
11
Interactive Machine Learning Experiments
Interactive Machine Learning experiments
Interactive Machine Learning Experiments is a collection of interactive demonstrations that showcase how various machine learning models can be trained and used in real applications. The project combines Jupyter or Colab notebooks with browser-based visual demos that allow users to see trained models operating in real time. Many experiments involve tasks such as image classification, object detection, gesture recognition, and simple generative models. -
12
tslearn
The machine learning toolkit for time series analysis in Python
The machine learning toolkit for time series analysis in Python. tslearn expects a time series dataset to be formatted as a 3D numpy array. The three dimensions correspond to the number of time series, the number of measurements per time series and the number of dimensions respectively (n_ts, max_sz, d). In order to get the data in the right format. -
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ONNX Runtime
ONNX Runtime: cross-platform, high performance ML inferencing
ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. ... -
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MLflow
Open source platform for the machine learning lifecycle
MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). -
15
Orion
A machine learning library for detecting anomalies in signals
Orion is a machine-learning library built for unsupervised time series anomaly detection. Such signals are generated by a wide variety of systems, few examples include telemetry data generated by satellites, signals from wind turbines, and even stock market price tickers. We built this to provide one place where users can find the latest and greatest in machine learning and deep learning world including our own innovations. -
16
sktime
A unified framework for machine learning with time series
sktime is a library for time series analysis in Python. It provides a unified interface for multiple time series learning tasks. Currently, this includes time series classification, regression, clustering, annotation, and forecasting. It comes with time series algorithms and scikit-learn compatible tools to build, tune and validate time series models. Our objective is to enhance the interoperability and usability of the time series analysis ecosystem in its entirety. sktime provides a... -
17
xrdp
An open source RDP server
xrdp provides a graphical login to remote machines using RDP (Microsoft Remote Desktop Protocol). xrdp accepts connections from a variety of RDP clients: FreeRDP, rdesktop, NeutrinoRDP and Microsoft Remote Desktop Client (for Windows, macOS, iOS and Android). As Windows-to-Windows Remote Desktop can, xrdp supports not only graphics remoting but also two-way clipboard transfer (text, bitmap, file), audio redirection, drive redirection (mount local client drives on a remote machine). Connect to a Linux desktop using RDP from anywhere (requires xorgxrdp Xorg module). Reconnect to an existing session. ... -
18
OpenCV
Open Source Computer Vision Library
OpenCV (Open Source Computer Vision Library) is a comprehensive open-source library for computer vision, machine learning, and image processing. It enables developers to build real-time vision applications ranging from facial recognition to object tracking. OpenCV supports a wide range of programming languages including C++, Python, and Java, and is optimized for both CPU and GPU operations. -
19
DebugSwift
A toolkit to make debugging iOS applications easier
DebugSwift is a comprehensive open-source toolkit aimed at iOS developers that streamlines and enhances the debugging experience for Swift-based applications by providing a rich set of interactive diagnostic tools. Designed to operate within the iOS environment (iOS 14+ and Swift 6+), it includes network and WebSocket inspectors for HTTP requests, detailed performance metrics (CPU, memory, FPS), and mechanisms to detect memory leaks and main thread violations in real time. ... -
20
WiFi DensePose
Turn WiFi signals into real-time human pose estimation and detection
WiFi DensePose is a production-oriented implementation of a WiFi-based human pose estimation system that enables real-time full-body tracking using wireless signals rather than cameras. The project demonstrates how commodity mesh routers and signal processing techniques can be leveraged to infer dense human pose information, even through obstacles such as walls. It is designed to showcase the emerging field of RF-based sensing, where machine learning models interpret wireless channel data to reconstruct human movement and posture. ... -
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emgucv
Cross platform .Net wrapper to the OpenCV image processing library
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages. The wrapper can be compiled by Visual Studio and Unity, it can run on Windows, Linux, Mac OS, iOS and Android. -
22
react-native-paper-dates
Smooth and fast cross platform Material Design date and time picker
Smooth and fast cross-platform Material Design date picker for React Native Paper. -
23
LiteRT-LM
LiteRT-LM is Google's production-ready inference framework
LiteRT-LM is Google’s open-source inference framework for deploying large language models on edge devices. It is built for production-oriented local LLM execution across Android, iOS, desktop, web, embedded, and IoT environments. The framework focuses on performance, hardware acceleration, and efficient model serving close to the user instead of relying only on remote cloud inference. It supports CPU execution across major platforms and adds GPU or NPU acceleration where available. LiteRT-LM... -
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mlforecast
Scalable machine learning for time series forecasting
mlforecast is a time-series forecasting framework built around machine-learning models, designed to make forecasting both efficient and scalable. It lets you apply any regressor that follows the typical scikit-learn API, for example, gradient-boosted trees or linear models, to time-series data by automating much of the messy feature engineering and data preparation. -
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Nixtla TimeGPT
TimeGPT-1: production ready pre-trained Time Series Foundation Model
TimeGPT is a production ready, generative pretrained transformer for time series. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code. Whether you're a bank forecasting market trends or a startup predicting product demand, TimeGPT democratizes access to cutting-edge predictive insights, eliminating the need for a dedicated team of machine learning engineers.
