Full reference of linkedin answers for skill assessments, linkedin test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, css, python, machine-learn…

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practic…

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

A collection of computer vision pre-trained models.

Repository to store sample python programs for python learning

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.

Learn OpenCV : C++ and Python Examples

Deep Learning Examples

PyTorch ,ONNX and TensorRT implementation of YOLOv4

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

Models and examples built with TensorFlow

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Keras implementation of RetinaNet object detection.

YOLOv4 Implemented in Tensorflow 2.0. Convert YOLO v4 .weights to .pb and .tflite format for tensorflow and tensorflow lite.

A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging.

A Keras implementation of YOLOv4 (Tensorflow backend)

Pre-trained Deep Learning models and samples (high quality and extremely fast)

Powerful and efficient Computer Vision Annotation Tool (CVAT)