✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)

MUSCO: MUlti-Stage COmpression of neural networks

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

MUSCO: Multi-Stage COmpression of neural networks

In this repository, I am practiced and implemented various machine learning algorithms using the real-world dataset amazon food reviews from Kaggle.

Netflix data challenge hosted by PRML course in IITM, we secured 5th position as team Goodfellas

Python package for plug and play dimensionality reduction techniques and data visualization in 2D or 3D.

Sparse Truncated SVD Benchmark (Python)

Unofficial python interface to Spectra library; GPU accelerated eigenvalue / TruncatedSVD problems solving

Real-time bitstream malware detection using an ML model. Includes feature extraction, Trojan detection, family classification, and embedded inference on PYNQ-supported FPGA boards.

Malware classification using Extreme Gradient Boosting - XGBoost, CountVectorizer, TruncatedSVD

Linear Algebra Course Assignments at IISc, Bangalore

Natural language processing of job postings in order to gain insight into the data science job market.

This repository contains clustering techniques applied to minute weather data. It contains K-Means, Heirarchical Agglomerative clustering. I have applied various feature scaling techniques and explored the best one for our dataset

A Flask-based movie recommendation website.

Built a model using Truncated SVD on amazon fine food review dataset

Unsupervised machine learning project 2: Alcanzando los objetivos de desarrollo sostenible, uso de NLP para clasificación de documentos.