Pinned Repositories
algorithms
Rust implementation of common algorithms
bayesian-probit
Bayesian Estimation of a Probit Regression Model
bayesian_benchmarks
A community repository for benchmarking Bayesian methods
bboard-recording-downloader
CLI tool to download recordings from Blackboard Collaborate
collaborative-filtering
diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
diffusion_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
panopto-downloader
CLI tool to download videos from Panopto
rust-seam-carving
Rust implementation of the seam carving algorithm
species-bnp
Julia simulations for "BNP estimation of the probability of discovering new species" (Lijoi et al., 2007)
stefanocortinovis's Repositories
stefanocortinovis/rust-seam-carving
Rust implementation of the seam carving algorithm
stefanocortinovis/bboard-recording-downloader
CLI tool to download recordings from Blackboard Collaborate
stefanocortinovis/panopto-downloader
CLI tool to download videos from Panopto
stefanocortinovis/algorithms
Rust implementation of common algorithms
stefanocortinovis/bayesian-probit
Bayesian Estimation of a Probit Regression Model
stefanocortinovis/bayesian_benchmarks
A community repository for benchmarking Bayesian methods
stefanocortinovis/collaborative-filtering
stefanocortinovis/diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
stefanocortinovis/diffusion_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
stefanocortinovis/species-bnp
Julia simulations for "BNP estimation of the probability of discovering new species" (Lijoi et al., 2007)
stefanocortinovis/equinox
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
stefanocortinovis/ereader
Reads EViews workfile (.wf1) into a Pandas DataFrame.
stefanocortinovis/jaxtyping
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays.
stefanocortinovis/leonard-bot
Source code for Reddit's u/leonard-bot
stefanocortinovis/lijoi2007-slides
Slides for "BNP estimation of the probability of discovering new species" (Lijoi et al., 2007)
stefanocortinovis/optax
Optax is a gradient processing and optimization library for JAX.
stefanocortinovis/TP4
Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)