jesusgarciaramirez Goto Github PK

autointerview

AI-powered assistant that help candidates prepare interviews.

biometrics

competitive-data-science-1

How to Win a Data Science Competition: Learn from Top Kagglers

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

cs-330-deep-multi-task-and-meta-learning

https://cs330.stanford.edu/

decoder_outputs

deeplearning.ai-natural-language-processing-specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

detectron2-pipeline

Modular image processing pipeline using OpenCV and Python generators powered by Detectron2.

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

gan-tools

geneticsproject

gnnpapers

Must-read papers on graph neural networks (GNN)

jesusgarciaramirez.github.io

My personal website

memory-augmented-neural-networks

mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

mycv

Web version of CV, using DevResume template

pyrcca

Regularized kernel canonical correlation analysis in Python

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

stabilizedbci

Companion code for the paper: "Stabilization of a brain-computer interface via the alignment of low-dimensional spaces of neural activity"

survey_of_deep_metric_learning

A comprehensive survey of deep metric learning and related works

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

tracking-vermeersch

In this project we use techniques from computer vision to analyse mobile eye tracking videos

ucr_time_series_classification_deep_learning_baseline

Fully Convlutional Neural Networks for state-of-the-art time series classification