YuejiangLIU's Stars
voxel51/fiftyone
Refine high-quality datasets and visual AI models
huggingface/lerobot
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
pengsida/learning_research
本人的科研经验
srush/Tensor-Puzzles
Solve puzzles. Improve your pytorch.
openai/weak-to-strong
jacobhilton/deep_learning_curriculum
Language model alignment-focused deep learning curriculum
Thinklab-SJTU/Awesome-LLM4AD
A curated list of awesome LLM for Autonomous Driving resources (continually updated)
SysCV/sam-pt
SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.
qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
derric/cleanthesis
Clean Thesis is a clean, simple, and elegant LaTeX style (or template) for thesis documents.
waymo-research/waymax
A JAX-based simulator for autonomous driving research.
GaryYufei/AlignLLMHumanSurvey
Aligning Large Language Models with Human: A Survey
weijiaheng/Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
bhanML/Co-teaching
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
likenneth/honest_llama
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
PointsCoder/GPT-Driver
Learning to Drive with GPT
coallaoh/Principles
jonbarron/tabilize
Simple code for generating a color-coded latex table from raw data
dingmyu/DAPN
A pytorch implementation of "Domain-Adaptive Few-Shot Learning"
HexHive/thesis_template
Template for EPFL (BSc, MSc, or doctoral) theses and semester projects
LINs-lab/ttab
[ICML23] On Pitfalls of Test-Time Adaptation
glederrey/EPFL_thesis_template
Unofficial template for the PhD thesis at EPFL maintained by PolyDoc
liyunsheng13/DRT
JonathanYang0127/omnimimic
Cross-Embodiment Robot Learning Codebase
ethz-spylab/superhuman-ai-consistency
BIT-DA/SCDA
[ICCV 2021] Code release for "Semantic Concentration for Domain adaptation"
YuejiangLIU/csl
[Preprint] Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
socialcausality/socialcausality
abhijithota/CA-DL-WRITTEN
twuilliam/domainnet-helpers
Helpers to pre-process the DomainNet dataset for cross-domain image retrieval.