Pinned Repositories
ARPL
[TPAMI 2021] Adversarial Reciprocal Points Learning for Open Set Recognition
ASAM
Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.
AsymFusion
[ACMMM 2020] Code release for "Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion"
AUSSC
Alternately Updated Convolutional Spectral-Spatial Network for Hyperspectral Image Classification(AUSSC)
Automate-the-Boring-Stuff-with-Python-Solutions
Solutions for Automate the Boring Stuff with Python
awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Batch-effect-removal-benchmarking
A benchmark of batch-effect correction methods for single-cell RNA sequencing data
clonealign
Bayesian inference of clone-specific gene expression estimates by integrating single-cell RNA-seq and single-cell DNA-seq data
Hyperspectral-Vision-Transformer
A PyTorch implementation of CNN+Vision Transformer for hyperspectral image classification
lu77777777's Repositories
lu77777777/Hyperspectral-Vision-Transformer
A PyTorch implementation of CNN+Vision Transformer for hyperspectral image classification
lu77777777/ASAM
Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.
lu77777777/AsymFusion
[ACMMM 2020] Code release for "Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion"
lu77777777/awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
lu77777777/awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
lu77777777/clonealign
Bayesian inference of clone-specific gene expression estimates by integrating single-cell RNA-seq and single-cell DNA-seq data
lu77777777/DeepLearningDataIntegration
Here I show how to use Deep Learning for biological and biomedical Data Integration.
lu77777777/DRIT
Learning diverse image-to-image translation from unpaired data
lu77777777/Gabor_CNN_PyTorch
WACV2018/TIP: Gabor Convolutional Networks
lu77777777/GLUER
lu77777777/HSI-datasets
Hyperspectral Remote Sensing Scenes
lu77777777/Hyperspectral_Image_Analysis_Simplified
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
lu77777777/Implicit-Semantic-Response-Alignment
Pytorch implementation for "Implicit Semantic Response Alignment for Partial Domain Adaptation"
lu77777777/JSTA
lu77777777/ML-YouTube-Courses
A repository to index and organize the latest machine learning courses found on YouTube.
lu77777777/MSNet-Pytorch
lu77777777/OpenSet_ReciprocalPoints
Re-implementation of the published ECCV '20 paper on reciprocal points for open-set recognition. Currently the state-of-the-art in open-set recognition for computer vision as of 10/2020.
lu77777777/scJoint
lu77777777/scvi-tools
Deep probabilistic analysis of single-cell omics data
lu77777777/scvi-tutorials
Notebooks used in scvi-tools tutorials
lu77777777/seurat
R toolkit for single cell genomics
lu77777777/SHARE-seq-alignment
pipeline for demultiplex and align both ATAC and RNA data generated in SHARE-seq
lu77777777/SingleCellOpenProblems
Formalizing and benchmarking open problems in single-cell genomics
lu77777777/SpaGCN
lu77777777/SpatialDE
Test genes for Spatial Variation
lu77777777/spectral
Python module for hyperspectral image processing
lu77777777/ss-ood
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
lu77777777/st_gridnet
A Python implementation of the model described in our publication "A convolutional neural network for common-coordinate registration of high-resolution histology images" developed principally for applications to registration of spatial transcriptomics image data.
lu77777777/vision
Datasets, Transforms and Models specific to Computer Vision
lu77777777/xmcgan_image_generation