adi1999

adi1999

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adi1999's repositories

Image-and-Video-Processing

Image processing Projects with the help of OpenCV in python 3 and MATLAB.

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yolo-bbox-visualizer

Generally, we can draw bounding boxes using the coordinates given as X_min, Y_min , X_max, Y_max OR X, Y ,W, H, but when these coordinates are normalizes to the scale of 0-1 ( for ex, images annotated by labelimg have the output coordinates of bboxes in this scale ), it can be a little tricky to draw bbox. So i have a little script to change the scale and to draw bbox on objects if the coordinates are on the scale 0-1 .

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Deep-Learning-Starcraft-II

Developed an Artificial Intelligence using PySC2 to train supervised agents to play the game using the concept of Reinforcement Learning (RL) and Broke down the game into manageable chunks to test RL agents on game specific tasks, and make meaningful actions in the game possible.

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Covid-19

Covid-19 Detection with the help of X-ray scans

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Codefest

Twitter Sentimental Analysis

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descubridor--Phone-finder

It is an Android App . It has a function that it can switch the mode from silent to ringing via an SMS . FUNCTIONING - It has to be installed in the phone and it will work when the phone recieves an Specific string Via SMS which is "descubridor" in this one , when the phone recieves an SMS , the app searches for the string "descubridor" and if it matches in the SMS then a specific song will ring whether the phone is in silent mode or not . Hope you all find it useful.

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Emotion-Detector

It is an Android App . It has a function of Detecting the emotion of an person via image. It works on gallery images as well as images taken from camera. It detects the emotion and shows the emotions like Happy, Sad, Angry, Fear etc. Then it also provides a list of things to do in that situation. It uses the Azure emotion API. Just change the key when you use it.

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Enigma

Find that a new comment will be upvoted or not

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IOT-Internet-of-things

Used Monte-Carlo Technique In Reinforcement Leaning to optimize electricity consumption and cooling demands for home.

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kornia

Open Source Differentiable Computer Vision Library for PyTorch

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mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

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Natural-Disaster-fundo

An attempt for finding better ways to save lives and prevent economic losses through mechanisms to predict, prevent, manage the impact of natural disasters.

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ocr

ocr for all validations

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Q-Learning-for-trading

Asimple try to apply Q-Learning for trading

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SA-Disaster

Social Media Sentimental Analysis

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Santander-Customer-Transaction-Kagggle

This is my submission to kaggle competition - (Santander Customer Transaction Prediction). Dataset can be downloaded from here -( https://www.kaggle.com/c/santander-customer-transaction-prediction/data )

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SSIM-Loss

calculate ssim loss via tensorflow, RGB or grayscale

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Tensorflow-Chatbot

In this demo code, I go over a brute force approach to the Traveling Salesman Problem. The TSP problem states that given a list of cities, what's the shortest possible route a traveling salesman could take to visit all of them and return back to his home city? The way the demo code solves this is to try every possible path. Since the number of cities is low, this works. But if we added more cities, this would quickly get really computationally expensive.

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Vista

Counting Number of Heads in a Selfie/Picture

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