josemanuel22
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Optimal transport algorithms for Julia
Acceptance rates for the major AI conferences
Forward Mode Automatic Differentiation for Julia
Harnessing Julia's Rich Documentation for Tailored AI-Assisted Coding Guidance
Common hyperparameter scheduling for ML
Materials of the Nordic Probabilistic AI School 2024.
A Julia package for differentiating through expectations with Monte-Carlo estimates
Julia implementation of the Kolmogorov-Arnold network with custom gradients for fast training.
A Julia framework for invertible neural networks
DelaunayTriangulation.jl: A Julia package for Delaunay triangulations and Voronoi tessellations in the plane
Bayesian inference with probabilistic programming.
Julia package containing utilities intended for Time Series analysis.
This is the PyTorch code for "DynGAN: Solving Mode Collapse in GANs with Dynamic Clustering"
A Transformer implementation using Flux.jl
PyTorch implementation of normalizing flow models
Unofficial Poster Template for UChicago Computer Science
