ayushgupt Goto Github PK

230x_projectdata

ai-for-trading

Udacity nanodegree: AI for Trading

apriori-frequent-itemset

Implementation of Apriori Algorithm for Mining Frequent Itemsets and comparison with FP-growth implementation at different support thresholds

ayushgupt

ayushgupt.github.io

My Personal Website

blockchain-simulator

calculator_embest_board

This is a Repo of a Calculator Embest Board made in Assembly Language on ARMSim

caliberated-sum-of-night-lights-in-gee

DMSP-OLS Night Light dataset is uncaliberated. Using the coefficients of calibration provided in the below paper, script is provided to obtain time series Sum of Lights for any required region(s).

carrom_simulation

Its a Simulation of Carrom board shaped in a triangular shape,where the striker is hit each time in a random direction with Random Velocity and the Further Simulation is Exhibited, Which includes Oblique Collisions and Friction too

col100_lab_sessions

comp_arch-assignments

This Repo Contains my ARM Assembly Language Codes

complaint_resolution_app

complaint_resolution_app_database

complaint_resolution_app_frontend

complaint_resolution_app_server

data-structures-assignment-1

It is Related to Implementation of Stacks

deeplearningassignment1

This contains Google Collab Notebook for my Deep Leaning Assignment of implementing Neural Networks from scratch

disk-virtualization

Python Simulation of Disk Consolidation,Partitioning ,Block Replication and SnapShoting

earth-engine

scripts for earth engine stuff

google_page_rank_implementation

iitd-homepage

jquery-ui

The official jQuery user interface library.

k-function-approximation

Programming Assignment 2 for Advanced Data Structures Course (COL702)

karatsuba_multiplication

Implemented in C++

landsatcnn

This Repo. contains code used for data collection and cleaning as well as model codes for running CNNs on Landsat Images at village level

machine-learning-for-trading

Udacity - Machine Learning for Trading

mini_search_engine

ml-coursera-assignments

Machine learning algorithms

mobile-tracking_1

mobile-tracking_2