Abandio's Stars
cabaletta/baritone
google maps for block game
wangsiwei2010/awesome-multi-view-clustering
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
tangchuan2000/AGLSR
the code for paper One Step Muti-view Clustering via Adaptive Graph Learning and Spectral Rotation
youweiliang/Multi-view_Clustering
MATLAB code for 7 Multi-view Spectral Clustering algorithms
Blealtan/efficient-kan
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
wanxinhang/TNNLS-2024-OMVCDR
The code of TNNLS 2024 ''One-Step Multi-View Clustering With Diverse Representation''
tkkxgh/DVIMC-pytorch
Tracesource/EOMSC-CA
[AAAI 2022] Code of "Efficient One-pass Multi-view Subspace Clustering with Consensus Anchors"
dzboop/CTCC
huangdonghere/SMCMB
Towards Scalable Multi-view Clustering via Joint Learning of Many Bipartite Graphs. To appear in IEEE Transactions on Big Data.
bobby-he/simplified_transformers
chenghuang66/s2tnet
meituan/YOLOv6
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
Jacklinkk/Graph_CAVs
The source code for our paper: Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges. This code is developed based on our previous repository TorchGRL.
DaRL-LibSignal/LibSignal
romainducrocq/DQN-ITSCwPD
JunweiLiang/aicity_action
Code and model for the AI City Challenge (CVPR 2022) Track 3 Action Detection (Naturalistic Driving Action Recognition)
OscarTaoyuPan/TrafficLightControl_QS
LucasAlegre/sumo-rl
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
kanajin/Aqua-docker
game server for Chunithm, Maimai DX, Project DIVA, O.N.G.E.K.I
Sanheiii/Mageki
一个在移动设备上模拟的音击控制器
samnyan/ModLoader
flyhigher139/OctBlog
Yet another blog system powered by Flask and MongoDB
timesler/facenet-pytorch
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.