summuk Goto Github PK

matlab-eeg-tools

Some general functions needed for all of my EEG repositories

matlab-lasso

MATLAB codes for LASSO regularisation using cross-validation

matlabdemos

mban-orientation

Materials for day-long trainings in data science and optimization

mdembedding

MATLAB code for estimating parameters for phase space reconstruction of multivariate data.

meld

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

mfn

Code for Memory Fusion Network, AAAI 2018

minesweeper-matlab

Matlab Project 99

mixstyle-release

The code of our ICLR'21 paper, "Domain Generalization with MixStyle".

mixup_for_uda

Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).

ml-classification-algorithms-poverty

A comparative assessment of machine learning classification algorithms applied to poverty prediction

ml-dl-rl-repo

Machine-Learning, Deep-Learning, Reinforcement-Learning

ml-face-assignment-report

ml-interpretation-shap

Interpretation of Ml models using the shap library in python. Video Explanation available on my youtube channel: https://www.youtube.com/watch?v=TeM3FWU9tjA

ml-interviews-book

https://huyenchip.com/ml-interviews-book/

ml-learning-projects

Applying my data analysis and machine learning knowledge to small practice datasets.

ml-on-gcp

Machine Learning on Google Cloud Platform

ml-teaching

ml-web

sample ml projects with flask framework

ml101

Machine learning with emphasis on Deep Learning hands-on class.

ml19-20a

CS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-autumn offering

ml19-20w

CS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-winter offering

ml2024

ES 335 Machine Learning Course at IIT Gandhinagar

ml2s-svm

mlds

Accompanying Jupyter notebooks for the Springer LNAI 9605 book chapter.

mlforpublicpolicy

Class resources for CAPP 30254 (Machine Learning for Public Policy)

mlnet-pytorch

Implementation of A Deep Multi-Level Network for Saliency Prediction in Pytorch

mlops

A project-based course on the foundations of MLOps with a focus on intuition and application.

mlops-1

mlops-basics