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Official code for "Calibrating Decision Robustness via Inverse Conformal Risk Control"
Score-Based Change-Point Detection and Region Localization for Spatio-Temporal Point Processes
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
LaTeX samples for NSF Research.gov Proposal Submission. For more information about Research.gov Proposal Submission visit https://www.research.gov/research-web/content/aboutpsm Feedback syee@nsf.gov
Code and Example for PCP-VCR: Optimizing Probabilistic Conformal Prediction with Vectorized Non-Conformity Scores
Reference implementation for DPO (Direct Preference Optimization)
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria…
A truly simple website template for academics
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Lightweight, useful implementation of conformal prediction on real data.
EasyTPP: Towards Open Benchmarking Temporal Point Processes
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Documentation for the General Bikeshare Feed Specification, a standardized data feed for shared mobility system availability. Maintained by MobilityData
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
code for "Fully Neural Network based Model for General Temporal Point Processes"
Deep universal probabilistic programming with Python and PyTorch
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Neural Kernel implementation from https://arxiv.org/pdf/2106.00072.pdf
A highly efficient implementation of Gaussian Processes in PyTorch