Pinned Repositories
AlphaTree-graphic-deep-neural-network
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱
awesome-meta-learning
A curated list of Meta-Learning resources/papers.
awesome-papers-fewshot
Collection for Few-shot Learning
books
电子书(计算机类，经济学，数学), 格式，pdf、mobi、epub
ConvLSTM_pytorch
Implementation of Convolutional LSTM in PyTorch.
CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
DeepHyperX
Deep learning toolbox based on PyTorch for hyperspectral data classification.
SSL-for-HSI-classification
Code for a paper accepted by TGRS
qiangchi's Repositories
qiangchi/SSL-for-HSI-classification
Code for a paper accepted by TGRS
qiangchi/AlphaTree-graphic-deep-neural-network
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱
qiangchi/awesome-meta-learning
A curated list of Meta-Learning resources/papers.
qiangchi/awesome-papers-fewshot
Collection for Few-shot Learning
qiangchi/books
电子书(计算机类，经济学，数学), 格式，pdf、mobi、epub
qiangchi/ConvLSTM_pytorch
Implementation of Convolutional LSTM in PyTorch.
qiangchi/CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
qiangchi/Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
qiangchi/Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
qiangchi/DeepHyperX
Deep learning toolbox based on PyTorch for hyperspectral data classification.
qiangchi/demo
demo
qiangchi/FewShotPapers
This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.
qiangchi/GCN-PyTorch
Graph Convolution Network for PyTorch
qiangchi/Graduate
毕业生就业信息管理系统
qiangchi/HSI-Classification
qiangchi/HSI-Classification-1
Hyperspectral Image Classification using PCA-CNN and LDA-CNN
qiangchi/hyperspectral_deeplearning_review
Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"
qiangchi/JSTARS_2020_DPN-HRA
Deep Prototypical Networks With Hybrid Residual Attention for Hyperspectral Image Classification, JSTARS, 2020
qiangchi/learn2learn
A PyTorch Library for Meta-learning Research
qiangchi/LearningToCompare_FSL
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
qiangchi/LibFewShot
LibFewShot: A Comprehensive Library for Few-shot Learning.
qiangchi/myCode
The Trainer used to train and evaluate deep learning model.
qiangchi/paper-codes
qiangchi/PlotNeuralNet
Latex code for making neural networks diagrams
qiangchi/pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
qiangchi/spectral
Python module for hyperspectral image processing
qiangchi/SSFSL
qiangchi/SSKD
qiangchi/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
qiangchi/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch