vivek1240 Goto Github PK
Name: Vivek Singh
Type: User
Company: Blinkit
Bio: Data Scientist | IIT Kharagpur'22 | AI/ML | StoryTelling
Location: Delhi
Name: Vivek Singh
Type: User
Company: Blinkit
Bio: Data Scientist | IIT Kharagpur'22 | AI/ML | StoryTelling
Location: Delhi
An experimental open-source attempt to make GPT-4 fully autonomous.
A curated list of awesome machine learning interpretability resources.
List of tools & datasets for anomaly detection on time-series data.
To build a Binary Classification model, to determine if there is specific set of retailers more likely to uninstall the application compared to others.
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.
A PyTorch and TorchDrug based deep learning library for drug pair scoring.
A library to model multivariate data using copulas.
Analysis for customers who have ordered> 2 products on different days but stopped ordering after 15th of April. There were 2055 such customers.
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
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 by passing the coordinates of the cluster centroid and delivery radius as 5km
Calculation of fraud detection matrices for the retail store(to get if the retailer is making fraud orders)
Investment Research for Everyone.
Main documentation site for NRNB GSoC project ideas and resources
clustering retail stores with the coordinates(latitude, longitude) of stores available via haversine distance matrix
Lime: Explaining the predictions of any machine learning classifier
Loud ML is the first open-source AI solution for ICT and IoT automation
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.
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).
The Numenta Anomaly Benchmark
Productionise & schedule your Jupyter Notebooks as easily as you wrote them.
python partial dependence plot toolbox
Personal portfolio_101
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
sush_portfolio_101
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.