DL_Newbie (DLwbm123)

DLwbm123

Geek Repo

Company:Fudan University

Location:Shanghai, China

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DL_Newbie's repositories

subnetwork-inference

Code for "Bayesian Deep Learning via Subnetwork Inference" (https://arxiv.org/abs/2010.14689)

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Awesome-Diffusion-Models

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

License:MITStargazers:0Issues:0Issues:0

Awesome-Information-Bottleneck

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

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Awesome-Visual-Diffusion-Models

A collection of resources and papers on Visual Diffusion Models.

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bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

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Best-Incremental-Learning

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

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CL_Atom_Swapping

ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping

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Function-space-Inference-with-Sparse-Implicit-Processes

Development of IP code based on VIPs and AADM

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ganslate

Simple and extensible GAN image-to-image translation framework. Supports natural and medical images.

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GWI

Gaussian Wasserstein VI

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LSSAE

The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"

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natural-continual-learning

Natural Continual Learning

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NeuralTangentKernel-Papers

Neural Tangent Kernel Papers

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NIID-Bench

Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

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NPBCL

Bayesian Structure Adaptation for Continual Learning. A non-parametric Bayesian approach on continual learning that learns the sparse deep substructure for each task by selecting weights to be used by the deep neural network.

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prml-1

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

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psgd_torch

Pytorch implementation of preconditioned stochastic gradient descent

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RCIL

[CVPR2022] Representation Compensation Networks for Continual Semantic Segmentation

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reproducible-continual-learning

Reproducing results from continual learning literature using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb and other popular CL strategies.

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SPPA

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

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TotalSegmentator

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

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Transformer_for_medical_image_analysis

A collection of papers about Transformer in the field of medical image analysis.

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TRGP

[ICLR 2022] Official Code Repository for "TRGP: TRUST REGION GRADIENT PROJECTION FOR CONTINUAL LEARNING"

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UCD

The offical Pytorch code for "Uncertainty-aware Contrastive Distillation\\for Incremental Semantic Segmentation"

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UCL-1

Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)

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