Showing 11 of 11 projects
Real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
A comprehensive collection of data science Python notebooks covering deep learning, machine learning, big data, visualization, and essential tools.
A lightweight, modular, and scalable deep learning framework built on the original Caffe.
A comprehensive toolset for converting, visualizing, and managing deep learning models across multiple frameworks like TensorFlow, PyTorch, and Caffe.
A hands-on beginner's guide to machine learning and image classification using Caffe and DIGITS with neural networks.
A web application for training deep learning models with a focus on computer vision tasks.
Automatic and interactive image colorization using deep neural networks, with PyTorch models for ECCV 2016 and SIGGRAPH 2017 papers.
Convert Caffe deep learning models to TensorFlow format for deployment and inference.
An open-source deep learning API and server written in C++ that supports multiple backends like PyTorch, TensorRT, and TensorFlow for training and inference.
A pioneering object detection system that combines region proposals with convolutional neural network features, significantly advancing detection accuracy.
A deep learning-based edge detection algorithm using holistically-nested fully convolutional neural networks.
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