2698022795
I am Wu Kanghui, a student in Zhejiang University of Technology. I want to study in Github and try to make some contributions to t
Zhejiang University of TechnologyHangZhou
Pinned Repositories
2698022795.github.io
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
avalanche
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
Awesome-Incremental-Learning
Awesome Incremental Learning
BIC
pytorch implementation of Large Scale Incremental Learning
chatgpt_academic
科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python工程剖析功能/自我剖析功能
Class-Incremental-Learning-by-Knowledge-Distillation-with-Adaptive-Feature-Consolidation
Continual-Learning-on-Noisy-Data-Streams-via-Self-Purified-Replay
Official Repository for our ICCV2021 paper: Continual Learning on Noisy Data Streams via Self-Purified Replay
CVPR19_Incremental_Learning
Learning a Unified Classifier Incrementally via Rebalancing
2698022795's Repositories
2698022795/AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
2698022795/BIC
pytorch implementation of Large Scale Incremental Learning
2698022795/CVPR19_Incremental_Learning
Learning a Unified Classifier Incrementally via Rebalancing
2698022795/Dataset-Knowledge-Transfer-for-Class-Incremental-Learning-without-Memory
PyTorch implementation of "Dataset Knowledge Transfer for Class-Incremental Learning Without Memory" (WACV2022)
2698022795/Efficient-Feature-Transformations-for-Discriminative-and-Generative-Continual-Learning-CVPR-21
Class Incremental learning, Task Incremental Learning
2698022795/End-to-End-Incremental-Learning
Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]
2698022795/Few-Shot-and-Continual-Learning-with-Attentive-Independent-Mechanisms
2698022795/java-for-newbee
一本糊涂账练习
2698022795/Learning-a-Unified-Classifier-Incrementally-via-Rebalancing
LUCIR
2698022795/numpy_neural_network
仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层;以及图像分类案例及精调网络案例等,持续更新中... ...
2698022795/PackNet-Adding-Multiple-Tasks-to-a-Single-Network-by-Iterative-Pruning
Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
2698022795/Progressive-Neural-Networks
2698022795/Progressive-Neural-Networks-for-IDS
An Implementation Of Progressive Neural Networks
2698022795/SS-IL-Separated-Softmax-for-Incremental-Learning