keshavbhandari Goto Github PK

adv_audio_intro

apriori-with-google-analytics-data

Market Basket Analysis With Google Analytics: Getting Recommender Insights with Association Rules in R

audio-processing

Audio Processing, sound classification, etc.

audiomer-pytorch

A Convolutional Transformer for Keyword Spotting (AAAI 2022 DSTC Workshop)

audioneme

AI model for speech disorder detection

audiosignalprocessingforml

Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"

deep-learning-projects

Includes my deep learning concepts and scripts

deep-q-learning-paper-to-code

electra

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

electra-with-compositional-embeddings

A custom Tensorflow implementation of Google's Electra NLP model with compositional embeddings using complementary partitions

electrareformer

A module that combines the power of Reformer/FastFormer, Electra and memory efficient compositional embeddings

genetic-algo-theme-variation

This repository implements a Genetic Algorithm for generating variations on a theme in the symbolic domain

gredel

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.

keshavbhandari.github.io

My academic website

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

midi_melody_extraction

multi-armed-bandits

This repository contains the presentation materials from my talk on multi-armed bandits, reinforcement learning and the bayesian vs frequentist view

musicgeneticalgorithm

A genetic algorithm that generates melodies in a user-defined key and of a user-defined tempo

next-basket-recommendations

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

nlp_hw2

pop909-dataset

This is the dataset repository for the paper: POP909: A Pop-song Dataset for Music Arrangement Generation

predicting-customer-return

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

recommendation_engine_projects

This repository includes all my recommendation engine related projects such as collaborative filtering, deep learning, sparse linear model implementation, etc.

reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

speech-enhancement

Deep learning for audio denoising

stock-market-prediction

Web Scraping moneycontrol.com comments and BSE data with Selenium & Beautiful Soup, Sentiment Analysis & Machine Learning/Deep Learning to next day stock closing price

text-summarization-with-attention

Encoder-Decoder LSTM Based Seq2Seq Models

themetransformer

The official implementation of Theme Transformer. A Theme-based music generation. IEEE TMM

unsupervised-learning-with-glove-word-embeddings-on-search-queries

Clustering search engine queries for the Google Merchandise Store with Stanford's Glove embeddings and K-means algorithm in Python

yinyang