Vivek Singh's repositories
k-means-clustering-via-haversine-distance-
clustering retail stores with the coordinates(latitude, longitude) of stores available via haversine distance matrix
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
Binary-Classification-model-for-the-Uninstallation-of-App
To build a Binary Classification model, to determine if there is specific set of retailers more likely to uninstall the application compared to others.
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Copulas
A library to model multivariate data using copulas.
Customers_not_ordering_analysis
Analysis for customers who have ordered> 2 products on different days but stopped ordering after 15th of April. There were 2055 such customers.
Fetching-the-raw-data-from-google-places-API
Fetching the raw data from google places API by passing the coordinates of the cluster centroid and delivery radius as 5km
Fraud-detection-matrices-calculation
Calculation of fraud detection matrices for the retail store(to get if the retailer is making fraud orders)
GamestonkTerminal
Investment Research for Everyone.
GoogleSummerOfCode
Main documentation site for NRNB GSoC project ideas and resources
loudml
Loud ML is the first open-source AI solution for ICT and IoT automation
mtad-gat-pytorch
PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
notebooker
Productionise & schedule your Jupyter Notebooks as easily as you wrote them.
PDPbox
python partial dependence plot toolbox
portfolio_101
Personal portfolio_101
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
sush_portfolio_101
sush_portfolio_101
telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
tiptop
:desktop_computer: Command-line system monitoring