EternityZY's Stars
facebookresearch/jepa
PyTorch code and models for V-JEPA self-supervised learning from video.
LargeWorldModel/LWM
gregversteeg/InfoDiffusionSimple
Information-theoretic diffusion, simplified code example.
TimeLovercc/Awesome-Graph-Causal-Learning
A list of Graph Causal Learning materials.
ChengyiLIU-cs/Generative-Diffusion-Models-on-Graphs
EternityZY/GCIM
This is the official release code of KDD2023 accepted paper: "Generative Causal Interpretation Model for Spatio-Temporal Representation Learning"
hang53/MEGA
The codes of Bootstrapping Informative Graph Augmentation via A Meta Learning Approach
DaoSword/Time-Series-Forecasting-and-Deep-Learning
Resources about time series forecasting and deep learning.
thu-ml/unidiffuser
Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"
atong01/conditional-flow-matching
TorchCFM: a Conditional Flow Matching library
gnobitab/RectifiedFlow
Official Implementation of Rectified Flow (ICLR2023 Spotlight)
Newbeeer/Poisson_flow
Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
matsim-org/matsim-libs
Multi-Agent Transport Simulation
ZhaobinMo/TrafficNet
TrafficNet is a large-scale and extensible library of naturalistic driving scenarios, aiming at bridging the gap between research data sets and practically usable information for vehicle engineers and researchers.
EternityZY/CCHMM
This is the official release code of AAAI2023 accepted paper: "Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction"
EternityZY/Nonparametric_Estimation
BUAA Pattern Recognition Course Project
EternityZY/STNSCM
This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
fulifeng/Causal_Reading_Group
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
LibCity/Bigscity-LibCity-Datasets
Traffic data processing tools in LibCity
MenghaoGuo/Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
JDAI-CV/CoTNet
This is an official implementation for "Contextual Transformer Networks for Visual Recognition".
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
toddwschneider/nyc-taxi-data
Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database
toddwschneider/nyc-citibike-data
NYC Citi Bike system data and analysis
amusi/CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
fitzgerald0/time_series_data_mining
TensorFlow Probability;Time series model
Justdcy/subway_traffic_forecast-tianchi
天池全球城市计算AI挑战赛-地铁人流量预测 A榜22/2319