shaoshitong/JDA

Stars
3
Rank 3,963,521 (Top 79 %)
Language
Python
Created almost 3 years ago
Updated almost 3 years ago

shaoshitong/JDA

shaoshitong

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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).

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

TST

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

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