Neeraj Krishna (@wingedrasengan927)

Top repositories

1

medium-ai

An open-source, AI-powered text editor inspired by medium.com.
TypeScript
122
star
2

Image-formation-and-camera-calibration

A comprehensive tutorial series on Image Formation and Camera Calibration in Python with example
Jupyter Notebook
98
star
3

Distributed-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.
Python
55
star
4

pytorch-tutorials

My notes, experiments, and implementations from learning pytorch from various resources.
Jupyter Notebook
48
star
5

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).
Python
18
star
6

Stereo-Geometry

A comprehensive tutorial on Stereo Geometry and Stereo Rectification
Jupyter Notebook
17
star
7

deep-autocomplete

Deep Learning based autocomplete for search bars
Jupyter Notebook
12
star
8

Identify-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.
JavaScript
9
star
9

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 Python
Python
7
star
10

PostgreSQL-tutorial

Notes I've written by following Jose Portilla's udemy course "The Complete SQL Bootcamp 2021: Go from Zero to Hero"
2
star
11

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 documentation
Python
2
star
12

Intro-to-computer-vision---Notes

My notes and notebooks from the udacity course "Intro to Computer Vision" by Georgia Tech. Will be updated everyday
Jupyter Notebook
1
star
13

Google-cloud-storage-utilities

Some basic utilities to manipulate google cloud storage using python
Python
1
star
14

Genre-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/
Jupyter Notebook
1
star
15

ML-from-scratch

Machine Learning Algorithms implemented from scratch
Jupyter Notebook
1
star