adi1999 Goto Github PK

attendance

codefest

Twitter Sentimental Analysis

covid-19

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

deep-learning-based-resume-parser-and-analyzer

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.

dementia-detection-using-deep-learning

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.

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.

energy-and-load-forecasting

enigma

Find that a new comment will be upvoted or not

hackathon-backend

image-and-video-processing

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

iot-internet-of-things

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

khomes

kornia

Open Source Differentiable Computer Vision Library for PyTorch

mmf

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

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.

ocr

ocr for all validations

peering-meta

prakashfoundation

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

q-learning-for-trading

Asimple try to apply Q-Learning for trading

react-app

sa-disaster

Social Media Sentimental Analysis

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 )

spatial-embedding-tf

ssim-loss

calculate ssim loss via tensorflow, RGB or grayscale

technex-front-end

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.

tensorflow_dann