DLwbm123

3D-Human-Pose-Estimation-Notes

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

awesome-zero-shot-learning

A curated list of papers, code and resources pertaining to zero shot learning

CapsuleVOS

compsensing_dip

Compressed sensing with deep image prior algorithm

LBAM_inpainting

Pytorch implementation of paper : Image Inpainting with Learnable Bidirectional Attention Map (ICCV, 2019)

learning_filter_basis

Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression"

medical-data

OCMIST

GUI for MICCAI 2019 "Interactive deep editing framework for medical image segmentation" (One-click medical image segmentation tool!)

RL-CSC

Codes for "Image Super-Resolution via RL-CSC: When Residual Learning Meets Convolutional Sparse Coding"

DLwbm123/nfts-public

DLwbm123/awesome-dataset-distillation

DLwbm123/Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

DLwbm123/Awesome-Information-Bottleneck

This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

DLwbm123/Awesome-Visual-Diffusion-Models

A collection of resources and papers on Visual Diffusion Models.

DLwbm123/benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

DLwbm123/Best-Incremental-Learning

An Incremental Learning, Continual Learning, and Life-Long Learning Repository

DLwbm123/Beyond_Deep_Ensembles

Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"

DLwbm123/cem

Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper "Learning to Receive Help: Intervention-Aware Concept Embedding Models"

DLwbm123/CL-refresh-learning

A Unified and General Framework for Continual Learning, ICLR 2024

DLwbm123/DEviS

Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty

DLwbm123/do_bnns_need_to_be_fully_stochastic

DLwbm123/dro

A package of distributionally robust optimization (DRO) methods. Implemented via cvxpy and PyTorch

DLwbm123/FedGMM_ICML2023

Personalized Federated Learning under Mixture of Distributions

DLwbm123/FL-bench

Benchmark of federated learning. Dedicated to the community. 🤗

DLwbm123/ggf

DLwbm123/HO-GSVD

Experimental Matlab implementation of the Higher-Order Generalized Singular Value (HO-GSVD) Decomposition

DLwbm123/ICLR2024-REDL

[ICLR 2024] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning

DLwbm123/LKU-Net

The official implementation of U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?

DLwbm123/NeuralTangentKernel-Papers

Neural Tangent Kernel Papers

DLwbm123/optML-pku

summer school materials

DLwbm123/petal

Probabilistic lifElong Test-time Adaptation with seLf-training prior (PETAL)

DLwbm123/PFL-Non-IID

Personalized federated learning simulation platform with non-IID and unbalanced dataset

DLwbm123/psgd_torch

Pytorch implementation of preconditioned stochastic gradient descent

DLwbm123/SGP

Official Code Repository for "Continual Learning with Scaled Gradient Projection".

DLwbm123/SPPA

Pytorch implementation of: "Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment", ECCV22

DLwbm123/SSL-FL

Self-supervised federated learning for medical imaging

DLwbm123/TotalSegmentator

Tool for robust segmentation of 104 important anatomical structures in CT images

DLwbm123/unified-continual-learning

[NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm

DLwbm123/variational_continual_learning

Variational Continual Learning for discriminative models