you can learning operating midwife in operate room in VR hospital within AI robots for the first time in all around the world
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Updated
Mar 6, 2024 - C#
you can learning operating midwife in operate room in VR hospital within AI robots for the first time in all around the world
Machine learning library for creating and working with GAN, RNN, CNN, R-CNN and also with Classic Neural Networks.
Notebooks from image and video analysis and processing classes. Optical flow, Faster-RC, SIFT, Image StitchingNN
Recursive Convolutional Neural Network (rCNN) is an innovative algorithm that I have personally developed. rCNN combines the power of convolutional neural networks (CNNs) with a recursive approach, introducing a novel architecture for feature extraction and representation learning.
目标检测 - R-CNN算法实现
creating intel company oriented design
A Bot to play Eve Online leveraging various methods including popular machine learning tools. At this point, its a full blown AI.
Pengaplikasian Algoritma Divide and Conquer Dalam Optimasi R-CNN Semantic Segmentation
the project is for knee severity detection
Object Detection Using Faster R-CNN models
Object Detection Paper Review and Implementation
The official implementation code of paper: "AU R-CNN:Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection".
Cross-platform server for object detection with tensor flow r-cnn with rest api for configure, control and pulling detection results
Smart Parking System - project based on object detection with Mask R-CNN algorithm.
Python code for Neuromatch Academy's Summer 2022 Deep Learning course project: Waste detection using Mask R-CNN on TACO dataset.
Wildfire smoke detection with Faster R-CNN via Pytorch 🔥🚒🧑🚒
Implementation of SPP-net Algorithm
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