Popular GitHub Repositories for Activity Tracker

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.

A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

Tracking the impact of COVID-19 in India

A curated list of action recognition and related area resources

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

? A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).

A python package to build AI-powered real-time audio applications

Easy token price estimates for 400+ LLMs. TokenOps.

SparkyFitness: Built for Families. Powered by AI. Track food, fitness, water, and health — together.

TEN VAD: low-latency high-performance Voice Activity Detector

A simple habit tracking app without "Goals"

Real-time speech recognition and voice activity detection (VAD) using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Linux, macOS, Windows, Raspberry Pi, VisionFive2, LicheePi4A etc.

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

? A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

6DoF Head tracking software

BoT-SORT: Robust Associations Multi-Pedestrian Tracking

The Open Source Alternative to Cluely - A lightning-fast, privacy-first AI assistant that works seamlessly during meetings, interviews, and conversations without anyone knowing. Built with Tauri for native performance, just 10MB. Completely undetectable in video calls, screen shares, and recordings.