Continual learning-based trajectory prediction with memory augmented networks

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

Pytorch implementations of Elastic Weight Consolidation (EWC)

Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."

Task-free Generalized Continual Zero-shot Learning

PyTorch implementation of our TPAMI paper "Variational Data-Free Knowledge Distillation for Continual Learning"

Continual / incremental / lifelong learning methods implemented by PyTorch. Especially the methods based on memory replay.

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch

Benchmark for Lifelong learning research

Lifelong Learning with Dynamically Expandable Networks, ICLR 2018

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch

Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classi…