ZhuowenZou's Stars
facebookresearch/sam2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
state-spaces/mamba
Mamba SSM architecture
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
voxel51/fiftyone
Refine high-quality datasets and visual AI models
EleutherAI/lm-evaluation-harness
A framework for few-shot evaluation of language models.
showlab/Awesome-Video-Diffusion
A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.
benedekrozemberczki/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
state-spaces/s4
Structured state space sequence models
vsitzmann/awesome-implicit-representations
A curated list of resources on implicit neural representations.
b7leung/MLE-Flashcards
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
flyingdoog/awesome-graph-explainability-papers
Papers about explainability of GNNs
radarFudan/Awesome-state-space-models
Collection of papers on state-space models
facebookresearch/projectaria_tools
projectaria_tools is an C++/Python open-source toolkit to interact with Project Aria data
eeyhsong/EEG-Conformer
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
DmitryRyumin/AAAI-2024-Papers
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!
wilson-labs/cola
Compositional Linear Algebra
ShijieZhou-UCLA/feature-3dgs
[CVPR 2024 Highlight] Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
CroitoruAlin/Diffusion-Models-in-Vision-A-Survey
This repository categorizes the papers about diffusion models applied in computer vision according to their target task. The classifcation is based on our survey: https://arxiv.org/abs/2209.04747v1
alexhernandezgarcia/gflownet
Generative Flow Networks - GFlowNet
shenyangHuang/TGB
Temporal Graph Benchmark project repo
LincanLi98/STG-Mamba
Official Implementation of STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model.
jbakermans/torch_tem
Implementation of the Tolman Eichenbaum Machine in pytorch
snap-stanford/roland
twitter-research/neural-sheaf-diffusion
TUC-ProAut/VSA_Toolbox
fpour/TGB_Baselines
TGB baselines for dynamic link property prediction
IGITUGraz/Cognitive-Map-Learner
This repo contains an example jupyter-notebook for the CML algorithm on all different kinds of the abstract random graph tasks.
EdisonLeeeee/GraphSSM
[NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study
IBM/in-memory-factorizer
This is the repository for the code associated with the paper titled "In-memory factorization of holographic perceptual representations"
CompBioUIC/FLICA
A Framework for Leader Identification in Coordinated Activity