32 Open source projects that are alternatives of or similar to Adam-NSCL

No description or website provided.

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

A pytorch compatible data loader to create sequence of tasks for Continual Learning

CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!

PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

Class Normalization for Continual Zero-Shot Learning

One Person, One Model, One World: Learning Continual User Representation without Forgetting

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

Official Implementation of Remembering for the Right Reasons (ICLR 2021)

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'

The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.

Life-Disciplines-Projects (LDP) is a life-management framework built within Obsidian. Feel free to transform it for your own personal needs.

What I consider the best practices for web and software development.

[ICLR 2022] Towards Continual Knowledge Learning of Language Models

🌊 Online machine learning in Python

Repo and code of the IEEE UIC paper: Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices

Code 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.

Code for IoT Journal paper title 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'

AI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)

lifelong learning: record and analysis of my knowledge structure

Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

AirLoop: Lifelong Loop Closure Detection

PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).

NMA deep learning course

Official Code Repository for "Gradient Projection Memory for Continual Learning"

Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

Official Implementation of CVPR2021 paper: Continual Learning via Bit-Level Information Preserving

Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

(RecSys 2020) Adaptively Distilled Exemplar Replay towards Continual Learning for Session-based Recommendation [Best Short Paper]