Showing 381-400 of 426 projects
Accelerated CPU-based image alignment and pattern matching library for real-time computer vision applications.
A React Native library that provides image recognition and other interesting features for developers.
A comprehensive introduction to deep learning using TensorFlow, covering a range of AI and machine learning topics.
A high-performance and lightweight PyTorch-based license plate recognition framework.
An offline Android SDK for face recognition, liveness detection, and 1:N & M:N face search
Self-hosted open-source web gallery with AI-powered image discovery and tagging for photos and videos.
A dockerized API for performing OCR (Optical Character Recognition) on images using Python.
A real-time speech recognition server built with the Kaldi toolkit and GStreamer framework.
A library for accelerating deep neural networks through channel pruning, a model compression technique.
GMTalker is a 3D digital human system that integrates speech recognition, speech synthesis, natural language understanding, and mouth animation for fast deployment on Windows, Linux, and Android.
AI-powered digital assistant that keeps your data private, with intelligent summaries and task tracking.
A PyTorch implementation of Temporal Segment Networks (TSN) for video understanding and action recognition.
A Python library for OCR text recognition using a CNN-based seq2seq model with visual attention, compatible with Google Cloud ML Engine.
TableBank is a benchmark dataset for table detection and recognition, useful for building computer vision models.
A JavaScript library that provides intelligent address recognition with support for address, phone, zip code, and name extraction.
A lightweight collaborative text span annotation tool for named entity recognition and event extraction.
A real-time multimodal emotion recognition web app for text, sound, and video inputs.
A collection of research papers and resources on computer vision tasks like image classification, object detection, and face recognition.
A collection of machine learning tutorials covering various topics like anomaly detection, time series forecasting, and object detection.
Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation.
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