Discover @Diptiranjan1 Open Source projects

Diptiranjan Harichandan (@Diptiranjan1)

Diptiranjan1

Stars
89
Global Rank 225,995 (Top 8 %)
Followers 27
Following 7
Registered about 9 years ago
Most used languages

MATLAB
42.9 %

Python
28.6 %

ASP 14.3 %

Jupyter Notebook
14.3 %
Location 🇮🇳 India
Country Total Rank 6,774
Country Ranking

MATLAB
14

ASP 78

Python
6,945

PSO-vs-WOA

The Matlab/Octave code contains codes of Whale Optimization Algorithm and Particle Swarm Optimization.

WOA-to-train-Neural-Network

Whale Optimization Algorithm used to train Neural Network

PSO-to-train-neural-network

Use of Particle Swarm optimization to train Neural netwrok on Matlab / Octave

Stock-Market-Prediction

Here we import S&P500 companies' data and apply ML techniques to predict whether to hold/buy/sell certain stocks

80s-Pong-Game-Unity-

Made using Unity this game is playable . Use arrow keys to move vertically and left mouse click to start the game.

Stock-Market-Project

This repository contains a crawler that downloads all the stock datas of S&P500 companies and then trains an LSTM network individually for prediction. In end we get graphs of predicted vs real closing prices. There is an option of also saving the weights of network so that it can be used later.

Jupyter Notebook

RNN-and-CNN-using-TensorFlow

Here, we are importing MNIST, TensorFlow and RNN model to train.