maysurekk's Stars
rust-unofficial/awesome-rust
A curated list of Rust code and resources.
afatcoder/LeetcodeTop
汇总各大互联网公司容易考察的高频leetcode题🔥
dromara/Sa-Token
一个轻量级 Java 权限认证框架,让鉴权变得简单、优雅!—— 登录认证、权限认证、分布式Session会话、微服务网关鉴权、单点登录、OAuth2.0
tiny-craft/tiny-rdm
Tiny RDM (Tiny Redis Desktop Manager) - A modern, colorful, super lightweight Redis GUI client for Mac, Windows, and Linux.
tomgoldstein/loss-landscape
Code for visualizing the loss landscape of neural nets
Seazean/JavaNote
📁我不是的知识的生产者,我只是知识的搬运工
zhengli97/PromptKD
[CVPR 2024] Official PyTorch Code for "PromptKD: Unsupervised Prompt Distillation for Vision-Language Models"
soraw-ai/Awesome-Text-to-Video-Generation
A list for Text-to-Video, Image-to-Video works
zhengli97/Awesome-Prompt-Adapter-Learning-for-VLMs
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
SonyResearch/COALA
COALA: A Practical and Vision-Centric Federated Learning Platform, accepted to ICML'24
Vanint/DatasetExpansion
The repository of Expanding Small-Scale Datasets with Guided Imagination (NeurIPS 2023).
ilia10000/dataset-distillation
Soft-Label Dataset Distillation and Text Dataset Distillation
cloneofsimo/karras-power-ema-tutorial
jiacheng-ye/ZeroGen
[EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.
TsingZ0/FedTGP
AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
KHU-AGI/PriViLege
[CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
justincui03/tesla
suduo94/D4M
A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"
NUS-HPC-AI-Lab/PAD
Prioritize Alignment in Dataset Distillation
ncsu-dk-lab/Acc-DD
haopr/MMFL
This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).
mybearyZhang/TwoStageReason
Official implementation of ECCV 2024 paper: Take A Step Back: Rethinking the Two Stages in Visual Reasoning
ichbill/DQAS
Dataset Quantization with Active Learning based Adaptive Sampling [ECCV 2024]
francescodisalvo05/cvae-anonymization
PyTorch implementation of the paper "Privacy-preserving datasets by capturing feature distributions with Conditional VAEs" @ BMVC2024
MingzhaoYang/FedDISC
The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)
NiaLiu/ATT
sacs-epfl/decentralized-learning-simulator
JintongGao/DisA
Code of Distribution Alignment Optimization through Neural Collapse for Long-tailed Classification
zj-jayzhang/Acc-DD
Code for Accelerating Dataset Distillation via Model Augmentation, CVPR 2023
MingzhaoYang/FedDEO
The pytorch implementation of FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion Models