aifenaike/Semantic_Search_and_Retrieval

Stars
5
Rank 2,861,937 (Top 57 %)
Language
Jupyter Notebook
License
MIT License
Created over 2 years ago
Updated about 2 years ago

aifenaike/Semantic_Search_and_Retrieval

aifenaike

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

A Query-Document pair ranking system using GloVe embeddings and RankCosine.

Intent-Recognition-Using-BERT

Transformer-based Model to recognize any of 7 unique intents from the Snips personal voice assistant.

Jupyter Notebook

Probabilistic-Lithology-Characterization

A probability based approach to characterize lithology using drilling data and Random Forests

Jupyter Notebook

Customer-Review-Sentiment-Analysis

A sentiment analysis model for food product reviews by customers.

Jupyter Notebook

Market-Basket-Analysis-InstaCart-Orders

Can we use association mining and machine learning to understand groceries purchase? Can we predict products that a user will buy again, try for the first time or add to cart next during a session? Can we segment our customer base into several cohorts based on their preferred products and purchase behaviour?

Jupyter Notebook

Financial_Inclusion_Prediction_API

A Machine Learning System for predicting depression tendencies from socio-economic factors deployed as a RESTAPI using Python, regularized greedy forests & FastAPI..

Jupyter Notebook

Topic-Modelling-Using-LDA-and-NMF

Topic Modelling and Recommendation System for News Articles using Non-Negative Matrix Factorization (NMF) and Linear discriminant analysis (LDA).

Jupyter Notebook

ML-from-scratch-series

Implementation of several machine learning algorithms from scratch

Jupyter Notebook

Stroke-Diagnostic-API

Dockerize and deploy machine learning model as REST API using FastAPI

Acoustic-Log-Estimation_Using-ML

Ranking

Ranking Scripts

Jupyter Notebook

Logio

Logio is an Unsupervised Machine learning framework for well log visualization, and well-well depth correlation using logs.

classifying-sales-calls

Jupyter Notebook

air_quality_forecast

Time Series Analysis and Modeling: A case study of air pollution in Beijing

Jupyter Notebook