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Image-formation-and-camera-calibration
A comprehensive tutorial series on Image Formation and Camera Calibration in Python with exampleDistributed-Multi-Video-Streaming-and-Processing-with-Kafka
Stream and process multiple videos in near real time using Kafka. The video frames are processed and a machine learning model does inference on them and the results are stored in a mongodb database.pytorch-tutorials
My notes, experiments, and implementations from learning pytorch from various resources.Tensorflow-2-Object-Detection-API-Flask-Application
In this application we build an API endpoint for the Tensorflow Object Detection API and deploy it on Google Kubernetes Engine. The user hits the endpoint with image data and gets a response which consists of detections with scores, image data with overlay, image size (can be customized).Stereo-Geometry
A comprehensive tutorial on Stereo Geometry and Stereo Rectificationdeep-autocomplete
Deep Learning based autocomplete for search barsIdentify-Specific-Objects-in-an-Image-or-Video-using-machine-learning-in-the-browser
This application uses Tensorflow.js to serve a mobilenet SSD image classification model in the browser which is used to crop (using cropper.js) and identify specific objects in an image or a video.Data-Structures-and-Algorithms-in-Python
This repo includes implementations of various Data Structures and Algorithms like DFS, BFS, Binary Trees, Stacks, Queues, Linked List, Graphs, Dynamic Programming etc in PythonPostgreSQL-tutorial
Notes I've written by following Jose Portilla's udemy course "The Complete SQL Bootcamp 2021: Go from Zero to Hero"Python-tutorials
These are notes I've wriiten following various python tutorials specifically from Derek Banas, Corey Schafer from YouTube, and also the official python documentationIntro-to-computer-vision---Notes
My notes and notebooks from the udacity course "Intro to Computer Vision" by Georgia Tech. Will be updated everydayGoogle-cloud-storage-utilities
Some basic utilities to manipulate google cloud storage using pythonGenre-Prediction-Multi-Label-Classification
The aim of this project is to predict genres of a movie based on it's plot and the movie name. This is a multi-label classification problem, and the dataset used is CMU movie summary corpus which can be found here http://www.cs.cmu.edu/~ark/personas/ML-from-scratch
Machine Learning Algorithms implemented from scratchLove Open Source and this site? Check out how you can help us