Name: Rajesh Kumar
Type: User
Company: University of Electronic Science and Technology of China
Bio: Currently, I am working in the Lab of Cyber Security, School of Computer Science and Engineering, UESTC
Location: China
Blog: https://raja21068.github.io/CV/
Rajesh Kumar's Projects
Lung-Cancer
Machine Learning Based Botnet Detection is a tool to classify network traffic as being botnet affected or not based on the network traffic flows. It involves various classifiers including Neural Networks, Decision Tree, SVM, Naive Bayes, Logistic Regression, k-Nearest Neighbours.
Learn Machine Learning Step by Step
RESNET, GOOGLENET, KERAS , ETC
Matlab Machine Learning Algorthim
OpenMMLab Detection Toolbox and Benchmark
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Models and examples built with TensorFlow
A collection of pre-trained, state-of-the-art models in the ONNX format
AI Toolkit for Healthcare Imaging
MONAI Label is an intelligent open source image labeling and learning tool.
An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"
An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device.
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
Panoramic Annular Semantic Segmentation
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Python sample codes for robotics algorithms.
Differentiable fast wavelet transforms in PyTorch with GPU support.
RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning for medical imaging applications.
支持视频号、小程序、抖音、快手、小红书、酷狗、QQ音乐等网络资源下载!