AndreaCossu/avida-python
Reproducing the Avida ALife world in Python
Assistant professor, working on Continual Learning. Pisa, IT.
Reproducing the Avida ALife world in Python
Archetype Computing / Adapting System for the EMERGE project.
Reimagining Artificial Life for the GPU Era
My personal website at https://www.andreacossu.com
My github landing page
Creating Neural Networks Quines (aka self-replicating neural networks) while also training them on supervised tasks.
Evaluation of Continual Learning with Recurrent Neural Networks
eXplaning continual learning with SHAP
Code to reproduce experiments from the paper "Continual Pre-Training Mitigates Forgetting in Language and Vision" https://arxiv.org/abs/2205.09357
Continual Learning with Gated Incremental Memories for Sequential Data Processing. IJCNN 2020. Continual Learning with Recurrent Neural Networks (RNNs) inspired by Progressive network architecture.
Avalanche: a End-to-End Library for Continual Learning
MultiLayer Perceptron implementation in Matlab. It provides gradient descent with standard momentum and 3 different types of conjugate gradient as learning algorithms.
Learning Algorithms
Study of different topologies for RON
EP
Awareness Opt-out task rephrased for artificial neural networks
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
Implementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.01427 (RRN): https://arxiv.org/abs/1711.08028
Differentiable Neural Computer using PyTorch
Materials for the Deep Learning laboratory of the Master in Big Data and Machine Learning from University of Pisa
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Continual Learning utilities
ContinualAI Wiki: a collaborative wiki on Continual/Lifelong Machine Learning
ContinualAI official website
Continual Learning tutorials and demo running on Google Colaboratory.
Machine Learning examples for Data Science course @ tree
PyTorch (0.4.0) implementation of a single layer Perceptron but with gradient descent instead of perceptron learning rule.