jariasf Goto Github PK

ai-for-medicine-specialization

cc126-2202

Implementaciones de ejercicios del curso de Introducción a los Algoritmos

cc182-aed

Repositorio de implementación del curso de Algoritmos y Estructuras de Datos - UPC 2022

citec

Competitive Programming Course Materials in Spanish

clustering-nips-2017

Code for "Is Simple Better?: Revisiting Simple Generative Models for Unsupervised Clustering" - Bayesian Deep Learning Workshop (NIPS 2017)

clustering-sibgrapi-2017

Code for SIBGRAPI 2017 Learning to Cluster with Auxiliary Tasks: A Semi-Supervised Approach

corner-detector

Parallel implementation, in CUDA, of Corner Detection in images using Gauss and Sobel filters.

cs231n

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

deep-clustering-mmd-vae

Code for the ongoing work "Deep Clustering using MMD Variational Autoencoder and Traditional Clustering Algorithms"

deep-learning

Deep Learning algorithms and models

gender-prediction-from-handwriting

Final project of Machine Learning course

generative-models

Implementation of Generative Models

gmvae

Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

hdbscan

Lua/Torch implementation of Hierarchical Density-Based Spatial Clustering.

jariasf.github.io

Personal Website

machine-learning

Implementations of Machine Learning Algorithms

mit-6.s191

My assignment solutions for MIT 6.S191 - Introduction to Deep Learning

online-judges-solutions

Solutions of Online Programming Judges such as SPOJ, UVA, etc

semisupervised-dgm-auxiliary-tasks

Code for the ongoing work "Semi-supervised Learning using Deep Generative Models and Auxiliary Tasks"

semisupervised-vae-metric-embedding

Code for the ongoing work "Semi-supervised Learning using Deep Generative Models and Metric Embedding Auxiliary Task"

talks

Collection of the talks I gave at different conferences and events.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.