Pinned Repositories
Awesome-Few-Shot-Class-Incremental-Learning
Awesome Few-Shot Class-Incremental Learning
BackdoorBench
CEC-CVPR2021
Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"
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.
Deep_Learning_For_Computer_Vision_With_Python
Deep Learning For Computer Vision With Python
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
dimensionality_reduction_alo_codes
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
FewShotCodeBase
A friendly codebase for Few-Shot Learning research implemented with Pytorch-Lightning.
NPD-MindSpore
JulieCarlon's Repositories
JulieCarlon/NPD-MindSpore
JulieCarlon/Awesome-Few-Shot-Class-Incremental-Learning
Awesome Few-Shot Class-Incremental Learning
JulieCarlon/BackdoorBench
JulieCarlon/CEC-CVPR2021
Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"
JulieCarlon/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.
JulieCarlon/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
JulieCarlon/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
JulieCarlon/FewShotCodeBase
A friendly codebase for Few-Shot Learning research implemented with Pytorch-Lightning.
JulieCarlon/FewShotContinualLearning
The original code for the paper "Benchmarks for Continual Few-Shot Learning".
JulieCarlon/FewShotPapers
This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.
JulieCarlon/foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
JulieCarlon/FSL
CEC and other experiments
JulieCarlon/FT-SAM-MindSpore
JulieCarlon/FTSAM-MindSpore
JulieCarlon/GMRF
GMRF Black Box Attacks
JulieCarlon/image_augmentor
Data augmentation tool for images
JulieCarlon/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
JulieCarlon/Julie-is-good
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JulieCarlon/meta-dataset
A dataset of datasets for learning to learn from few examples
JulieCarlon/mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
JulieCarlon/MoEx
MoEx (Moment Exchange)
JulieCarlon/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
JulieCarlon/purge-and-merge
Puzzle database and solver binaries for purge-and-merge
JulieCarlon/Python-100-Days
Python - 100天从新手到大师
JulieCarlon/python-small-examples
告别枯燥，致力于打造 Python 富有体系且实用的小例子、小案例。
JulieCarlon/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
JulieCarlon/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
JulieCarlon/SPPR
Implementation of the paper "Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning"
JulieCarlon/tsne-pytorch
Pytorch implementation for t-SNE
JulieCarlon/Warping-based_Backdoor_Attack-release
WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)