shaoshitong
I am a PhD in HKUST (GZ). My interests in efficient diffsuon/llm, model/dataset compression and optimization.
The Hong Kong University of Science and Technology (Guangzhou)Guangzhou, Guangdong, China
Pinned Repositories
libai
LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
LMFlow
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
awesome-papers-in-efficient-diffusion-llm-ar
Awesome Efficient LLM/Diffusion Model/Visual Autoregressive Model
Catch-Up-Distillation
The official implementation of Catch-Up Distillation (CUD).
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.
EDC
Elucidated Dataset Condensation (NeurIPS 2024)
G_VBSM_Dataset_Condensation
[CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
hdvw
copy form how-do-vit-works, It contains a large number of SOTA visual models and losslandscape visualization
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.
shaoshitong's Repositories
shaoshitong/diffusion-model-learning
Document the demo and a series of documents for learning the diffusion model.
shaoshitong/G_VBSM_Dataset_Condensation
[CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
shaoshitong/EDC
Elucidated Dataset Condensation (NeurIPS 2024)
shaoshitong/DiffuseExpand
[IJCAI 2023 workshop]Expanding dataset for 2D medical image segmentation using diffusion models
shaoshitong/awesome-icml2024-papers-in-efficient-diffusion-llm
shaoshitong/Catch-Up-Distillation
The official implementation of Catch-Up Distillation (CUD).
shaoshitong/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
shaoshitong/Smoothed-Noise
Improving generalization ability of Video Diffusion Models by Smoothing Noise
shaoshitong/TST
[IJCAI2023 oral] Teach What You Should Teach: A Data-Based Distillation Method
shaoshitong/AnimateDiff
Official implementation of AnimateDiff.
shaoshitong/gflownet_for_tensor_program_compile
Applying GflowNet to generate the high-performance operator
shaoshitong/LMFlow
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
shaoshitong/VideoVisualization
shaoshitong/Autogressive-DPM
shaoshitong/Catch-Up-Distillation-ImageNet-64x64
shaoshitong/Data_Cache_SVD_CM
shaoshitong/dpm-solver
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
shaoshitong/edm
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
shaoshitong/EEG_Transfer_Learning
shaoshitong/FM-KT-DeiT
FM-KT for DeiT
shaoshitong/mydiffusers
shaoshitong/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
shaoshitong/resume
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
shaoshitong/Single_DDPM_Jax
shaoshitong/songyang_sde_jax
Runnable code base for songyang's SDE
shaoshitong/tiny-transformer-kd
shaoshitong/torchgfn
The Pytorch Implementation of GflowNet.
shaoshitong/transformer
shaoshitong/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
shaoshitong/XLsor-Compare