Search Results for "activity recognition"
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Showing 27 open source projects for "activity recognition"
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Whisper
Robust Speech Recognition via Large-Scale Weak Supervision
OpenAI Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification. A Transformer sequence-to-sequence model is trained on various speech processing tasks, including multilingual speech recognition, speech translation, spoken language identification, and voice activity detection. ... -
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sherpa-onnx
Speech-to-text, text-to-speech, and speaker recognition
Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime without an Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter. -
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Handy STT
A free, open source, and extensible speech-to-text application
...To further refine accuracy and responsiveness, Handy integrates Silero’s Voice Activity Detection (VAD) for silence filtering, ensuring only speech segments are processed. -
4
Leku
Map location picker component for Android
...An alternative to Google Place Picker. Component library for Android that uses Google Maps and returns a latitude, longitude and an address based on the location picked with the Activity provided. Note that you have the voice_search_extra_language that is used for the language of the voice recognition. Replace it with the allowed voice recognition locale for your language. We encourage you to add these languages to this component, please fork this project and submit new languages with a PR. It's possible to hide or show some of the information shown after selecting a location. ... -
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I2P
I2P is an anonymizing network to securely communicate
...It uses encrypted unidirectional tunnels between you and your peers. No one can see where traffic is coming from, where it is going, or what the contents are. Additionally, I2P offers resistance to pattern recognition and blocking by censors. -
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Whisper-WebUI
A Web UI for easy subtitle using whisper model
...It supports multiple input sources including local files, YouTube content, and microphone input, making it versatile for different workflows. Whisper WebUI also includes advanced preprocessing and postprocessing features such as voice activity detection, background music separation, and speaker diarization, enabling more accurate and structured outputs. -
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Bailing
Bailing is a voice dialogue robot similar to GPT-4o
Bailing is an open-source voice-dialogue assistant designed to deliver natural voice-based conversations by combining automatic speech recognition (ASR), voice activity detection (VAD), a large language model (LLM), and text-to-speech (TTS) in a single pipeline. Its goal is to offer a “voice-first” chat experience similar to what one might expect from a system like GPT-4o, but fully open and deployable by users. The project is modular: each core function — ASR, VAD, LLM, TTS — exists as a separately replaceable component, which allows flexibility in picking your preferred models depending on resources or languages. ... -
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Hiera
A fast, powerful, and simple hierarchical vision transformer
...Community discussions cover topics like dataset pretrains, integration in other frameworks, and comparisons with related implementations. Security and contribution guidelines follow Meta’s open-source practices, and activity shows ongoing interest and usage across the community. -
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Amica
Amica is an open source interface for interactive communication
...Under the hood, Amica leverages modern web and desktop technologies: three.js and three-vrm for 3D rendering, Transformers.js for running models in the browser, Whisper and Silero VAD for speech recognition and voice-activity detection, and a variety of LLM backends such as llama.cpp servers, ChatGPT-compatible APIs, Ollama, KoboldCpp, and others. It also integrates multiple text-to-speech providers, including ElevenLabs, OpenAI, Coqui, RVC, and AllTalkTTS. -
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LSTMs for Human Activity Recognition
Human Activity Recognition example using TensorFlow on smartphone
LSTM-Human-Activity-Recognition is a machine learning project that demonstrates how recurrent neural networks can be used to recognize human activities from sensor data. The repository implements a deep learning model based on Long Short-Term Memory (LSTM) networks to classify physical activities using time-series data collected from wearable sensors. -
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Peptide Pattern Recognition
Software for non-alignment based analysis of DNA and protein sequences
...Several genes encoding enzymes with the same activity are necessary for aerobic fungal degradation of cellulose in nature. PLoS One, 9, e114138. -
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tom_core
tom_core - a tool for automating events on a computer
tom_core is a software tool used for the automation of everything that happens on your computer. By using this application, you can easily record your activity on your computer, starting the recording at any moment that you choose. The application repeats all your clicks or drags, keystrokes, hotkeys, etc. All in exactly the timing and number of repetitions you need. The toolbox such as the optical recognition and voice control enables to branch out the recordings into complex forms, with which application brings the possibility of programming even to those who don’t have programming skills or experiences. -
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Live Transcribe Speech Engine
Live Transcribe is an Android application
Live Transcribe Speech Engine provides on-device speech recognition components that power real-time transcription for accessibility and everyday voice-first experiences. Its design prioritizes latency and robustness in noisy, far-field environments, enabling continuous transcription with low delay on mobile hardware. The engine manages audio front-end processing—such as noise suppression and voice activity detection—before feeding audio into compact, accurate acoustic and language models. ... -
14
WinPwn
Automation for internal Windows Penetrationtest / AD-Security
WinPwn is a PowerShell-based toolkit for automating internal Windows penetration testing and Active Directory reconnaissance. It streamlines many manual steps by integrating reconnaissance modules like Seatbelt, Inveigh, Rubeus, and PrivescCheck. With proxy auto‑detection, endpoint enumeration, and exploitation routines, it's widely used in red team and blue team tool chains. -
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VideoPose3D
Efficient 3D human pose estimation in video using 2D keypoint
...The framework includes pretrained models, data preprocessing utilities, visualization tools, and evaluation scripts for standard benchmarks like Human3.6M. VideoPose3D has been used widely in computer vision research for human motion understanding, activity recognition, and animation generation. -
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Activity Recognition
Resources about activity recognition
...Feature extraction method summaries (e.g. motion, sensor, vision). Deep learning for activity recognition references. -
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ADL mining framework
A set of applications for the mining of Activities of Daily Living
The recognition of Activities of Daily Living (ADL) has represented one of the most developed research areas in recent years. Its objective is to determine what daily activity is developed by the inhabitants of a smart environment. In this project, an ontology-based framework for the mining of ADL with a generic ontology and a modular architecture is proposed. -
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e-gibalec-android
e-Gibalec is an application which tracks your activitiy
The goal of e-Gibalec application is to promote exercise as a part of a healthy lifestyle to schoolchildren. It motivates the children to cultivate the habit of being physically active during leisure time. Gamification techniques are used for the motivation purposes, such as earning coins by being physically active, earning special currency by reaching daily goals and a possibility to challenge a friend in certain activity. The awards can be afterwards used to buy items which enable... -
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e-gibalec-windows
e-gibalec monitors daily activities
The goal of e-Gibalec application is to promote exercise as a part of a healthy lifestyle to schoolchildren. It motivates the children to cultivate the habit of being physically active during leisure time. Gamification techniques are used for the motivation purposes, such as earning coins by being physically active, earning special currency by reaching daily goals and a possibility to challenge a friend in certain activity. The awards can be afterwards used to buy items which enable... -
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e-gibalec-server
e-gibalec monitors daily activities
The goal of e-Gibalec application is to promote exercise as a part of a healthy lifestyle to schoolchildren. It motivates the children to cultivate the habit of being physically active during leisure time. Gamification techniques are used for the motivation purposes, such as earning coins by being physically active, earning special currency by reaching daily goals and a possibility to challenge a friend in certain activity. The awards can be afterwards used to buy items which enable... -
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e-gibalec-iOS
iOS code for e-Gibalec application
The goal of e-Gibalec application is to promote exercise as a part of a healthy lifestyle to schoolchildren. It motivates the children to cultivate the habit of being physically active during leisure time. Gamification techniques are used for the motivation purposes, such as earning coins by being physically active, earning special currency by reaching daily goals and a possibility to challenge a friend in certain activity. The awards can be afterwards used to buy items which enable... -
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android-activity-miner
Activity-Miner for Android
A mobile application to create accelerometer based activity recognition models directly on the phone. The configuration of the segmentation and feature extraction process chain requires expert knownledge. The prototype was developed in 2012 in a bachelor thesis at the University of Kassel and was optimized and enhanced for an experiment in 2015. -
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XBMC Media Move
XBMC Media Move: Media file automated dispatcher for XBMC Media Center
XBMC Media Move is a powerful tool designed to fill the gap between softwares like µTorrent and XBMC Media Center (Kodi) by dispatching media files (video/music/photo/etc...) automatically upon arrival. Please note that even if this software could be used in a context of illegal multimedia consumption, I do not encourage to do so! Note: XBMC Media Move is provided with already pre-configured settings; so it can be installed and used right away (following a standard use) or manually... -
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SIMACT is a 3D smart home simulator for activity recognition developped at LIARA during the summer 2009. The goal of SIMACT is to enable scientist to simulate execution sequence of activity inside a smart home to conduct their research.
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Porcupine2 is a small wearable sensory unit for logging motion data and doing low-level activity recognition. The project includes electronic schematics for the hardware, software for the microcontroller and client-side software for hardware-interaction.
