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.
The FactorGraph package provides the set of different functions to perform inference over the factor graph with continuous or discrete random variables using the belief propagation algorithm.
Codebase for discovery of latent dynamic connectivity in brain cortical networks
Solutions to Pacman AI Ghostbusters problems
MONN-2: updated Multi-Objective Neural Network for Predicting Pairwise Non-Covalent Interactions and Binding Affinities between Compounds and Proteins
#计算机科学#Consistent Optimization of Label-wise Utilities in Multi-label classificatioN
Final for CPS 367 - Artificial Intelligence
Repositório destinado às atividades do módulo 11 do curso de Engenharia da Computação.
#计算机科学#All my work for the Artificial Intelligence for Big Data Systems course at FMI
Experiments with vLLM on inference time properties of large language models