duzhekai's Stars
ylsung/VL_adapter
PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)
QingruZhang/AdaLoRA
AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).
Anything-of-anything/Anything-3D
Segment-Anything + 3D. Let's lift anything to 3D.
JeffreyXiang/ivid
PyTorch implementation of the ICCV paper "3D-aware Image Generation using 2D Diffusion Models"
TL-UESTC/DAMP
The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
google/prompt-to-prompt
luosiallen/latent-consistency-model
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
MC-E/DragonDiffusion
ICLR 2024 (Spotlight)
THU-LYJ-Lab/T3Bench
T3Bench: Benchmarking Current Progress in Text-to-3D Generation
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
oxwhirl/smac
SMAC: The StarCraft Multi-Agent Challenge
hakiri/sdn-ns-3
SDN-enabled IoT Simulation using Mininet with NS-3
another-s347/NetSDDNN
another-s347/SDDNN
fmcarlucci/JigenDG
Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"
jwyang/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
mathcbc/advGAN_pytorch
a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).
krumo/swd_pytorch
An unofficial PyTorch implementation for CVPR 2019 work "Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation"
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Gorilla-Lab-SCUT/DADA-AAAI2020
Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).
VisionLearningGroup/taskcv-2017-public
MingjunZhong/transferNILM
Transfer Learning for Non-Intrusive Load Monitoring
jiejiang-jojo/fast-seq2point
penghu-cs/DSCMR
Deep Supervised Cross-modal Retrieval (CVPR 2019, PyTorch Code)
minqi/learning-to-communicate-pytorch
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
aoju/bus
Bus 是一个基础框架、服务套件,它基于Java8编写,参考、借鉴了大量已有框架、组件的设计,可以作为后端服务的开发基础中间件。代码简洁,架构清晰,非常适合学习使用。
argoproj/argo-cd
Declarative Continuous Deployment for Kubernetes
torvalds/linux
Linux kernel source tree
lijin118/awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)