eXplaning continual learning with SHAP
Neural Circuit Policies implementation for Keras (TensorFlow 2) and PyTorch
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
Experiments on continual learning from a stream of pretrained models.
Differentiable Factor Graph Optimization for Learning Smoothers @ IROS 2021
Implementation of AR1* and CWR* Continual Learning techniques for the NICv2 scenario
Zero-Mean Convolutions for Level-Invariant Singing Voice Detection
Implementation of Latent Replay, a Continual Learning strategy for Real-Time / On The Edge applic...
lint - Leveraging INTerpretability
A centralized place for deep thinking code and experiments
A remake of Asteroids, and implementations of several Neural Network algorithms to play it.
Implementation of Open-Set Likelihood Maximization for Few-Shot Learning
CORe50: a new Dataset and Benchmark for Continual Learning
Unifying all code detailing learned ML concepts for easy reuse.
A logical, reasonably standardized, but flexible project structure for conducting ml research 🍪