lu77777777's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
facebookresearch/AugLy
A data augmentations library for audio, image, text, and video.
thuml/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
christianversloot/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
median-research-group/LibMTL
A PyTorch Library for Multi-Task Learning
facebookresearch/swav
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
facebookresearch/multimodal
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
iCGY96/awesome_OpenSetRecognition_list
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
DrSleep/light-weight-refinenet
Light-Weight RefineNet for Real-Time Semantic Segmentation
weijiaheng/Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
QUVA-Lab/e2cnn
E(2)-Equivariant CNNs Library for Pytorch
vgsatorras/egnn
microsoft/ptgnn
A PyTorch Graph Neural Network Library
VIROBO-15/Transformer-in-Remote-Sensing
MDPI Journal: Remote Sensing Track 2023
danfenghong/IEEE_TGRS_SpectralFormer
Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Spectralformer: Rethinking hyperspectral image classification with transformers, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
AnkurDeria/HSI-Traditional-to-Deep-Models
Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
zgr6010/HSI_SSFTT
L. Sun, G. Zhao, Y. Zheng, and Z. Wu. "Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification," in IEEE TGRS, 2022.
mhaut/HSI-datasets
Hyperspectral Remote Sensing Scenes
danfenghong/IEEE_TGRS_CCR-Net
Xin Wu, Danfeng Hong, Jocelyn Chanussot. Convolutional Neural Networks for Multimodal Remote Sensing Data Classification, IEEE Transactions on Geoscience and Remote Sensing, 2021.
zhu-xlab/SSL4EO-Review
Codes for the benchmark experiments in the paper "Self-supervised Learning in Remote Sensing: A Review"
SYFYN0317/-MAHiDFNet
Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data
VisionLearningGroup/CDS
CDS: Cross-Domain Self-supervised Pre-training
RenlongHang/Coupled-CNNs
fly51fly/ML-YouTube-Courses
A repository to index and organize the latest machine learning courses found on YouTube.
maysambehmanesh/GWCN
Graph Wavelet Convolutional Network