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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.

chemicalx

A PyTorch and TorchDrug based deep learning library for drug pair scoring.

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.

deepadots

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

django-search-api-using-elastic-search

donut

WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

feature-engineering-for-uninstallation-of-application

Preparing the features for forming a data-set to make a binary classification model for the retailers who uninstall the application

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

k-means-clustering-via-haversine-distance-

clustering retail stores with the coordinates(latitude, longitude) of stores available via haversine distance matrix

lime

Lime: Explaining the predictions of any machine learning classifier

linkedin_extension

loudml

Loud ML is the first open-source AI solution for ICT and IoT automation

market-basket-analysis

This market basket analysis has the main job as cleaning the data whether creating the custom dictionary to correct misspelled Hindi words or removing custom stop words from product names.Hence it involves the custom dictionary to correct misspelled words. Also, the calculation of threshold support, confidence and lift is done through the help go inflexion point.

market_basket_order_date_time_analysis

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).

nab

The Numenta Anomaly Benchmark

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.

support-email-classifier-bot

sush_portfolio_101

sush_portfolio_101