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.
Economic analysis tool using tensor PCA modeling to interpolate GNP values, integrating tensor product, PCA, and linear regression for better interpolation.
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
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
Designed and implemented a sophisticated computer vision system for real-time sign language detection using OpenCV and Tensor Flow, facilitating communication accessibility for individuals with hearing impairments.
code for kassandra prediction engine
A pure python impl of safetensors requiring no rustc to be built.
A numpy like library for tensor (gergen) operations.
A Machine Learning model that recognizes the hand written digits
📝 Apply Deep Learning Concepts to MNIST Dataset with TensorFlow
Model identifiability pipeline using surrogate models trained on a latent space extracted by tensor decompositions.
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