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auto_snn

awesome-knowledge-distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

catch-up-distillation

The official implementation of Catch-Up Distillation (CUD).

catch-up-distillation-imagenet-64x64

ccd

[ACCV 2022 Oral](What Role Does Data Augmentation Play in Knowledge Distillation ?) This repoditory is about the analysis of JDA and the implementation of CCD

contextualloss

be used to wangmingming

datasets

Datasets used in Plotly examples and documentation

detection

diffuseexpand

[IJCAI 2023 workshop]Expanding dataset for 2D medical image segmentation using diffusion models

diffusion-model-learning

Document the demo and a series of documents for learning the diffusion model.

dpm-solver

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

dsnet

Unofficial implementation of DSNet

edc

Elucidated Dataset Condensation

edm

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

eeg_transfer_learning

englishword

Excellent English expression record in English literature

fgd

Focal and Global Knowledge Distillation for Detectors (CVPR 2022)

fm-kt-deit

FM-KT for DeiT

fractalnet

fractalnet pytorch

fractalnet.github.io

pytorch version

g_vbsm_dataset_condensation

[CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)

gauss

SIFT pytorch add to layer

gcbprl

gflownet_for_tensor_program_compile

Applying GflowNet to generate the high-performance operator

gnn-model-explainer

gnn explainer

grouprcnn

Group R-CNN for Point-based Weakly Semi-supervised Object Detection (CVPR2022)

hdvw

copy form how-do-vit-works, It contains a large number of SOTA visual models and losslandscape visualization

how-do-vits-work

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

hsakd

[IJCAI-2021&&TNNLS-2022] Official implementation of Hierarchical Self-supervised Augmented Knowledge Distillation

huanwei