Pinned Repositories
lda-ted-talks
In this project, I have tried to do topic modelling on a dataset containing TED Talks ([kaggle](https://www.kaggle.com/datasets/jeniagerasimov/ted-talks-info-dataset?rvi=1)) using LDA (Latent Dirichlet Allocation). I have also tried to judge the quality of each topic using the number of likes and views talks on each topic have
raaga_ai
A machine learning based algorithm for classifying different ragas of Carnatic music. Work in progress :)
rl-project
VisualQuestionAnswering
ML-Project
TriDaS
TriDaS is a versatile distributed triple data store that seamlessly integrates MongoDB, Pig, Hive, and PostgreSQL, offering flexibility and scalability. Its schemaless design accommodates subject, predicate, and object data, while supporting query, update, and merge operations.
alpha-beta-CROWN
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023)
ComputX-Nand2Tetris
Project for computX recruitment
first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
git-demo-2
SaiMadhavanG's Repositories
SaiMadhavanG/first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
SaiMadhavanG/rl-assignment-1
SaiMadhavanG/alpha-beta-CROWN
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023)
SaiMadhavanG/nap-stats
SaiMadhavanG/grp-meet-demo
SaiMadhavanG/rl-project
SaiMadhavanG/NoSQL-Assignment-3
SaiMadhavanG/NoSQL-Assignment-22
SaiMadhavanG/raaga_ai
A machine learning based algorithm for classifying different ragas of Carnatic music. Work in progress :)
SaiMadhavanG/SE-Lab-Git
SaiMadhavanG/git-demo-2
SaiMadhavanG/IMT2021101_SE_Lab1
SaiMadhavanG/os_miniproj
SaiMadhavanG/mini_proj
SaiMadhavanG/zense-website-new
SaiMadhavanG/helpful-resources
A curated list of resources we found helpful - feel free to make a PR!
SaiMadhavanG/lda-ted-talks
In this project, I have tried to do topic modelling on a dataset containing TED Talks ([kaggle](https://www.kaggle.com/datasets/jeniagerasimov/ted-talks-info-dataset?rvi=1)) using LDA (Latent Dirichlet Allocation). I have also tried to judge the quality of each topic using the number of likes and views talks on each topic have
SaiMadhavanG/ComputX-Nand2Tetris
Project for computX recruitment
SaiMadhavanG/LeanInxZense
SaiMadhavanG/perspectilt-website
A website for WE perspectilt. Coming soon.