jariasf

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

GMVAE

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

Online-Judges-Solutions

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

semisupervised-vae-metric-embedding

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

jariasf/CS231n

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

jariasf/GMVAE

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

jariasf/Online-Judges-Solutions

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

jariasf/clustering-nips-2017

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

jariasf/CC126-2202

Implementaciones de ejercicios del curso de Introducción a los Algoritmos

jariasf/Corner-Detector

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

jariasf/CC182-AED

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

jariasf/CITEC

Competitive Programming Course Materials in Spanish

jariasf/clustering-sibgrapi-2017

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

jariasf/Gender-Prediction-From-Handwriting

Final project of Machine Learning course

jariasf/Generative-Models

Implementation of Generative Models

jariasf/Machine-Learning

Implementations of Machine Learning Algorithms

jariasf/MIT-6.S191

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

jariasf/semisupervised-vae-metric-embedding

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

jariasf/AI-For-Medicine-Specialization

jariasf/deep-clustering-mmd-vae

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

jariasf/Deep-Learning

Deep Learning algorithms and models

jariasf/hdbscan

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

jariasf/jariasf.github.io

Personal Website

jariasf/semisupervised-dgm-auxiliary-tasks

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

jariasf/talks

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

jariasf/transformers

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