Deep Active Learning
Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow
Cyclic learning rate TensorFlow implementation.
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
How optimizer and learning rate choice affects training performance
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Minimal and Clean Reinforcement Learning Examples