KeithMalarkey
Research interests: Self Supervised Learning (SSL), Efficient Vision Transformers, Hyperspectral imagery (HSI ) application.
KeithMalarkey's Stars
Haochen-Wang409/DropPos
[NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
YuxiangZhang-BIT/IEEE_TIP_SDEnet
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification, IEEE TIP, 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
shuguang-52/2019-RemoteSens-AUSSC
Alternately Updated Convolutional Spectral-Spatial Network for Hyperspectral Image Classification(Remote Sensing 2019)
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
YuxiangZhang-BIT/IEEE_TNNLS_Gia-CFSL
Graph Information Aggregation Cross-domain Few-shot Learning for Hyperspectral Image Classification. IEEE TNNLS, 2022.
gordicaleksa/pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
HSG-AIML/MaskedSST
Code repository for Scheibenreif, L., Mommert, M., & Borth, D. (2023). Masked Vision Transformers for Hyperspectral Image Classification, In CVPRW EarthVision 2023
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
vikasverma1077/manifold_mixup
Code for reproducing Manifold Mixup results (ICML 2019)
jiangyiqun233/PRML_learning
learning fomula
ropas/pytea
PyTea: PyTorch Tensor shape error analyzer
Arijit-datascience/CNN_BatchNormalization_Regularization
MNIST Digit Prediction using Batch Normalization, Group Normalization, Layer Normalization and L1-L2 Regularizations