[NeurIPS 2022] The official repository of Expression Learning with Identity Matching for Facial Expression Recognition

• UpdatedNov 29, 2023
• Python

[TMLR] "Adversarial Feature Augmentation and Normalization for Visual Recognition", Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu

• UpdatedNov 27, 2022
• Python

Recognizing the Digits from 0-9 using their pixel values as attributes, using Deep Learning Model to Classify the Digits.

• UpdatedMay 13, 2019
• Jupyter Notebook

Solutions to Coursera's Intro to Machine Learning course in python

• UpdatedAug 4, 2019
• Jupyter Notebook

• UpdatedNov 5, 2019
• Python

Evaluation of multiple graph neural network models—GCN, GAT, GraphSAGE, MPNN and DGI—for node classification on graph-structured data. Preprocessing includes feature normalization and adjacency-matrix regularization, and an ensemble of model predictions boosts performance. The best ensemble achieves 83.47% test accuracy.

• UpdatedMay 12, 2025
• Jupyter Notebook

CMU week 3 - whole process overview, data split, validation and model scoring

• UpdatedOct 23, 2024
• Jupyter Notebook

This is an example of Linear Regression done in SparkML and using the class PolynomialExpansion.

• UpdatedJul 2, 2019
• Scala

A Python implementation of the Iterative Feature Normalization algorithm

• UpdatedMay 12, 2020
• Jupyter Notebook

This project focuses on data preprocessing of the Titanic dataset, which is a crucial step in any data analysis or machine learning workflow. The goal is to clean the raw data by handling missing values, converting categorical data into numeric format, and normalizing numerical features.

• UpdatedJun 29, 2025
• Python