Showing 41-60 of 126 projects
Benchmarks for popular CNN models, useful for developers working on computer vision and deep learning projects.
A comprehensive collection of popular and reproducible image denoising techniques and implementations.
Face detection and recognition library for Python, using the Dlib computer vision library.
CodeSearchNet provides datasets, tools, and benchmarks for representation learning of code, enabling AI-powered code discovery.
R-CNN: Regions with Convolutional Neural Network Features, a MATLAB library for object detection using deep learning.
A TensorFlow implementation of the Faster R-CNN object detection algorithm for developers working with computer vision.
This is a PyTorch implementation of a 3D U-Net CNN for medical image segmentation.
A collection of TensorFlow tutorial code examples for learning deep learning from beginner to advanced.
A benchmark for evaluating different implementations of Variational Autoencoders (VAEs) in PyTorch.
A high-performance C++ library for upscaling anime videos using AI-powered super-resolution techniques.
Open-source code for a PixelCNN++ model, a powerful generative model for image generation.
Practical tutorials and labs for TensorFlow, covering popular neural network architectures like CNN, RNN, and more.
A state-of-the-art PyTorch implementation for facial expression recognition, useful for developers working on computer vision and AI applications.
A project that provides a collection of pre-trained deep learning models for image classification tasks.
Open-source implementation of the Mask Scoring R-CNN model for instance segmentation and object detection.
NCRF++: A Neural Sequence Labeling Toolkit for tasks like NER, POS tagging, and text chunking.
A TensorFlow template application for building deep learning models and deploying them to production.
A computer vision library for human-computer interaction, including head pose and gaze estimation, skin detection, motion tracking, and more.
A collection of tutorials and implementations for various deep learning algorithms using TensorFlow.
A PyTorch implementation of the Faster R-CNN object detection algorithm that can be trained on VOC dataset.
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