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A Django content management system focused on flexibility and user experience
A re-implementation of T-GNN, a framework for pedestrian trajectory prediction that addresses the performance decrease caused by distribution differences across different domains, by leveraging dom…
Class-Incremental Learning: A Survey (TPAMI 2024)
PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"
Summary of the book Effective Java 2nd Edition by Joshua Bloch
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
Lifelong Learning with Dynamically Expandable Networks
pytorch-tiny-imagenet
code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."
A tiny KV storage based on skiplist written in C++ language| 使用C++开发，基于跳表实现的轻量级键值数据库🔥🔥 🚀
使用 C++ 11 重构陈硕的 muduo 库，去除 boost 依赖。内部实现有 HTTP 服务器，可支持 GET 请求。
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017
Implementation for the paper "SpaceNet: Make Free Space For Continual Learning" in PyTorch.
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.
PyCIL: A Python Toolbox for Class-Incremental Learning
Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
BeautyEye is a Java Swing cross-platform look and feel.