River🌊 Online machine learning in Python
Train plus plusRepo and code of the IEEE UIC paper: Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices
cvaecaposrCode for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, arXiv:2104.09159, 2021.
CVPR21 PASSPyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
ML-MCUCode for IoT Journal paper title 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
Adam-NSCLPyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"
FUSIONPyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
incremental trainingRepo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'
tornadoThe Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.
FACILFramework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.