Pinned Repositories
avalanche
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
EgocentricUserAdaptation
In this codebase we establish a benchmark for egocentric user adaptation based on Ego4d.First, we start from a population model which has data from many users to learn user-agnostic representations.As the user gains more experience over its lifetime, we aim to tailor the general model to user-specific expert models.
avalanche-1
Avalanche: a End-to-End Library for Continual Learning.
CLsurvey
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 classification tasks." in IEEE TPAMI.
continual_world
ContinualEvaluation
[Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.
ContinualPrototypeEvolution
Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastreams. Includes implementation of the Pseudo-Prototypical Proxy (PPP) loss.
DUA
Source code "Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem." @ CVPR2020
hackjunction_chatbot
RehearsalRevealed
Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.
Mattdl's Repositories
Mattdl/CLsurvey
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 classification tasks." in IEEE TPAMI.
Mattdl/ContinualPrototypeEvolution
Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastreams. Includes implementation of the Pseudo-Prototypical Proxy (PPP) loss.
Mattdl/RehearsalRevealed
Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.
Mattdl/ContinualEvaluation
[Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.
Mattdl/DUA
Source code "Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem." @ CVPR2020
Mattdl/hackjunction_chatbot
Mattdl/avalanche-1
Avalanche: a End-to-End Library for Continual Learning.
Mattdl/continual_world
Mattdl/distributed_uno
Mattdl/jaicf-jaicp-caila-template
Mattdl/mattdl.github.io
Professional Portfolio.
Mattdl/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.