keshavbhandari Goto Github PK
Name: Keshav Bhandari
Type: User
Bio: keshavbhandari.github.io
Name: Keshav Bhandari
Type: User
Bio: keshavbhandari.github.io
Market Basket Analysis With Google Analytics: Getting Recommender Insights with Association Rules in R
Audio Processing, sound classification, etc.
A Convolutional Transformer for Keyword Spotting (AAAI 2022 DSTC Workshop)
AI model for speech disorder detection
Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"
Includes my deep learning concepts and scripts
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
A custom Tensorflow implementation of Google's Electra NLP model with compositional embeddings using complementary partitions
A module that combines the power of Reformer/FastFormer, Electra and memory efficient compositional embeddings
This repository implements a Genetic Algorithm for generating variations on a theme in the symbolic domain
Automated R-Shiny based UI platform to create and deploy a XGBoost model on ANY dataset. Additionally it also includes black box interpretation techniques such as PDP, ALE Plots, permutation importance.
My academic website
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
This repository contains the presentation materials from my talk on multi-armed bandits, reinforcement learning and the bayesian vs frequentist view
A genetic algorithm that generates melodies in a user-defined key and of a user-defined tempo
This repository contains my research work on building the state of the art next basket recommendations using techniques such as Autoencoders, TF-IDF, Attention based BI-LSTM and Transformer Networks
This is the dataset repository for the paper: POP909: A Pop-song Dataset for Music Arrangement Generation
Objective: Predicting whether the customer will return or not in the next month. Techniques used: XGBoost, logistic regression, attention based LSTM neural network, self attention based transformer neural network
This repository includes all my recommendation engine related projects such as collaborative filtering, deep learning, sparse linear model implementation, etc.
Reformer, the efficient Transformer, in Pytorch
Deep learning for audio denoising
Web Scraping moneycontrol.com comments and BSE data with Selenium & Beautiful Soup, Sentiment Analysis & Machine Learning/Deep Learning to next day stock closing price
Encoder-Decoder LSTM Based Seq2Seq Models
The official implementation of Theme Transformer. A Theme-based music generation. IEEE TMM
Clustering search engine queries for the Google Merchandise Store with Stanford's Glove embeddings and K-means algorithm in Python
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.