Implementation of "Determining whether two datasets cluster similarly without determining the clusters" [Van Eeghem & De Lathauwer] [2020]

This Python script processes an ORCA .out file to extract and analyze temperature-dependent magnetic susceptibility tensors.

A Python app using SymPy to compute core differential geometry tensors (metric, Christoffel, Riemann, Ricci, Einstein, and Weyl). It features a custom simplification module that combines built‑in methods with regex-based replacements to reduce expressions and auto-nullifies Weyl components when FLRW patterns are detected.

Alien Ship Invasion.

Neural Network Creation Library

Economic analysis tool using tensor PCA modeling to interpolate GNP values, integrating tensor product, PCA, and linear regression for better interpolation.

Personal Project: Computer Vision

Matrix&Tensor decomposition

a compact tensor library capable of training deep neural networks on both cpu and cuda devices

Differentiable Tensors based on NumPy Arrays

Contract programming for Pytorch, Numpy

Python deep learning library focused on transparency and readability

Python code used in NIPS 2017 paper: Fitting Low-Rank Tensors in Constant Time, by K. Hayashi and Y. Yoshida

A Tensorflow Implementation of Batch Normalized LSTM

Understanding neural network libraries and the automatic gradient computations (autograd) in the backward pass

Batch multidimensional indexing for pytorch

AI-powered distraction monitoring tool using screen capture + TensorFlow.

This is the repository for "Efficient Low-rank Multimodal Fusion with Modality-Specific Factors", Liu and Shen, et. al. ACL 2018

An AI-powered image analysis system built using Python that leverages deep learning and computer vision techniques for tasks such as object detection, classification, and image segmentation.

code for kassandra prediction engine