toil2sweet Goto Github PK
Type: User
Company: Huazhong University of Science and Technology
Bio: I am a Ph.D. student in HUST China, and also a visiting student in NUS Singapore.
Location: Wuhan
Type: User
Company: Huazhong University of Science and Technology
Bio: I am a Ph.D. student in HUST China, and also a visiting student in NUS Singapore.
Location: Wuhan
Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
Awesome Incremental Learning
Application of OWM Method on RNN Network
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
Evaluate three types of task shifting with popular continual learning algorithms.
Relevant papers in Continual Learning
Convolutional Random Vector Functional Link Network+
Official Implementation of "CRNet: A Fast Continual Learning Framework with Random Theory" paper
Deep Random Vector Functional Link training function
Class Incremental learning, Task Incremental Learning
An implementation of EWC with PyTorch
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
Dendrite Net: A White-Box Module for Classification, Regression, and System Identification: https://arxiv.org/abs/2004.03955. It may be time to improve the neuron of artificial neural network (IEEE preprints-IEEE preprints ranking (TechRxiv): Top 1 in yearly popularity-You should cite it.): https://doi.org/10.36227/techrxiv.12477266
Continuum Learning with GEM: Gradient Episodic Memory
Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models
Memory Aware Synapses method implementation code
Code for Continual Learning of Context-dependent Processing in Neural Networks
《Pytorch模型训练实用教程》中配套代码
Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.