Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

This is the full file system fuzzing framework that I presented at the Hack in the Box 2020 Lockdown Edition conference in April.

Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".

Write and test Core Image filters, kernels, and geometric transformations in Python.

Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"

Foundational library for Kernel methods in pattern analysis and machine learning

Jupyter Kernels for the Spyder console

Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".

Operating System-based projects explored and implemented chapter-wise. The programs are inspired from end-of-chapter projects in Silberchatz's "Operating System Concepts".

Fast embedding-based graph classification with connections to kernels

List of linux kernel versions and download links in JSON

Personal reimplementation of some ML algorithms for learning purposes

Code for the NeurIPS 2021 paper "Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes".

Bucketed top-k for PyTorch using a priority queue

Genome Network Ala Neural Network

metaprogramming for LLMs and other humans

Python code for 2D Fourier Filtering Kernels

Numpy from-scratch implementation of ML Algorithms: Kernel Perceptron, kNN, MLP, and more

Filtros basados en Kernels con Python & MPI

Implemented SVC on the Olivetti dataset to predict if a person is wearing glasses or not by using cross-validation techniques in depth.