shaoshitong/TST

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Created over 2 years ago
Updated 10 months ago

shaoshitong/TST

shaoshitong

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[IJCAI2023 oral] Teach What You Should Teach: A Data-Based Distillation Method

diffusion-model-learning

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

plotlydict

这里陈列了我编写的一些关于深度学习的画图工具，如果觉得有帮助可以给个star.

G_VBSM_Dataset_Condensation

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

DiffuseExpand

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

hdvw

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

Catch-Up-Distillation

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

JDA

NICO

[ECCV 2022 Workshop](Bootstrap Generalization Ability from Loss Landscape Perspective)Third place code in the 2022 NICO Common Context Generalization Challenge.

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

EDC

Elucidated Dataset Condensation

FAKD

Knowledge distillation via Flow Alignment

machine_learning_on_eeg

include SVM decision tree, SVM, randomtree

gflownet_for_tensor_program_compile

Applying GflowNet to generate the high-performance operator

Nerf-Oneflow

Reproduction of oneflow version of Nerf