Showing 22 of 22 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.
A deep learning technique for finding semantically-meaningful dense correspondences between images to enable visual attribute transfer.
Scene text detection using Connectionist Text Proposal Network (CTPN) for detecting text lines in natural images.
Detects 6-DOF grasp poses for parallel jaw grippers in 3D point clouds, enabling robotic grasping of novel objects in clutter.
A deep learning library for tag estimation and semantic feature vector extraction from illustrations.
A Caffe implementation of MTCNN for joint face detection and alignment using a multi-task cascaded convolutional neural network.
A re-implementation of the SPP-net object detection algorithm using spatial pyramid pooling in deep convolutional networks for visual recognition.
A command-line utility that uses convolutional neural networks to search and filter videos based on objects and places that appear in them.
A deep learning-based solution for automatically recognizing and solving 12306 railway website captchas.
A Docker container for face detection using Faster R-CNN deep learning, processing videos and images with bounding box outputs.
Shallow and deep convolutional neural networks for predicting visual saliency in images using a data-driven approach.
A deep learning system for automatic spoken language identification from audio files using TensorFlow and Caffe.
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