-
University College London
- London
-
20:45
(UTC) - https://pabloo22.github.io/
- @ThePablo22
- in/pablo-arino
Highlights
- Pro
Stars
A curated list of Continual Learning papers and BibTeX entries
UCL Statistical NLP Group Project "Bridging the Emotional Gap: Enhancing Compact Language Model’s Emotional Intelligence through Targeted Fine-Tuning"
This is an archive of lectures, resources, and coursework from my time at UCL.
This repository contains the pipeline structure and design steps for training the GNN architecture models built with PYG lib and enhanced with the deep reinforcement learning for training of the gr…
This repository provides an OpenAI Gym-compatible environment for production scheduling tasks, designed to benchmark reinforcement learning agents in job shop and flow shop settings.
An open-source AI agent that brings the power of Gemini directly into your terminal.
(ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling
A repository with a data set including instances and results from literature for the Job Shop Scheduling Problem (JSSP). While the raw data is provided as text files, it is also compiled in an R pa…
This open source library is available to summarize several years of research papers on graph reinforcement learning for the convenience of researchers
Web-based tool converts GitHub repository contents into a single formatted text file
Code of the paper "Deep learning from phylogenies for diversification analysis".
Python package for building, comparing, annotating, manipulating and visualising trees. It provides a comprehensive API and a collection of command line tools, including utilities to work with the …
Simple phylogenetic tree visualization python package for phylogenetic analysis
A fast and scalable phylogenetic tree viewer for microbiome data analysis
Publication-ready NN-architecture schematics.
Next-generation scheduling problem solver based on GNNs and Reinforcement Learning
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Powerful RDF Knowledge Graph Generation with RML Mappings
Solving the Job-Shop Scheduling Problem (JSSP) with Graph Neural Networks (GNNs).
A Gymnasium environment for simulating job scheduling in Apache Spark
Práctica de la asignatura de Infraestructura de Big Data
Implementation of TabTransformer, attention network for tabular data, in Pytorch
Generate a 2D Fractal Landscape Generator in Python