Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
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Updated
May 20, 2025 - Python
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Manifold Markov chain Monte Carlo methods in Python
A simple library to run variational inference on Stan models.
MONN-2: updated Multi-Objective Neural Network for Predicting Pairwise Non-Covalent Interactions and Binding Affinities between Compounds and Proteins
Consistent Optimization of Label-wise Utilities in Multi-label classificatioN
Solutions to Pacman AI Ghostbusters problems
Final for CPS 367 - Artificial Intelligence
Experiments with vLLM on inference time properties of large language models
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