Jensen - Moozonian Search

GitHub Repo https://github.com/kenm47/jensenify-mcp

kenm47/jensenify-mcp

An MCP server that helps engineers achieve Jensen Huang's recommended $250k/year compute spend by injecting ~2.9M tokens of canonical Western literature into every AI interaction. Deep humanistic context for every engineering decision.

GitHub Repo https://github.com/0bserver07/Nvidia-Autopilot-Keras

0bserver07/Nvidia-Autopilot-Keras

Keras Implementation of End to End Learning for Self-Driving Cars by (Baris Kayalibay, Grady Jensen, Patrick van der Smagt)

GitHub Repo https://github.com/theisij/ml-and-the-implementable-efficient-frontier

theisij/ml-and-the-implementable-efficient-frontier

Code repository for "Machine Learning and the Implementable Efficient Frontier" by Jensen, Kelly, Malamud, and Pedersen (2024)

GitHub Repo https://github.com/thomassutter/mmjsd

thomassutter/mmjsd

Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence

GitHub Repo https://github.com/KrisJensen/planning_code

KrisJensen/planning_code

Code for Jensen et al. 2023

GitHub Repo https://github.com/sandberg-lab/Smart-seq3

sandberg-lab/Smart-seq3

Code and analysis pipeline for Smart-seq3 (Hagemann-Jensen et al. 2020).

GitHub Repo https://github.com/byuflowlab/Jensen3D

byuflowlab/Jensen3D

Modified Jensen wake model to predict losses in 3D space

GitHub Repo https://github.com/bkelly-lab/ReplicationCrisis

bkelly-lab/ReplicationCrisis

Code for "Is There a Replication Crisis in Finance" by Jensen, Kelly and Pedersen (2023)

GitHub Repo https://github.com/Dicklesworthstone/fast_vector_similarity

Dicklesworthstone/fast_vector_similarity

High-performance vector similarity library in Rust with Python bindings: Spearman, Kendall, distance correlation, Jensen-Shannon, Hoeffding's D, and bootstrapped confidence intervals

GitHub Repo https://github.com/decile-team/jensen

decile-team/jensen

A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)