youlj109

ai-for-grant-writing

A curated list of resources for using LLMs to develop more competitive grant applications.

FOA

Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes

xfeat

Do you need robust and fast local feature extraction? You are in the right place!

ProCo

[TPAMI 2024] Probabilistic Contrastive Learning for Long-Tailed Visual Recognition

ccf-deadlines

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

mdsc

fret

FRET

DeepLearningCourse

:school: **科学院大学计算机科学与技术学院深度学习(徐俊刚老师)

pystreamfs

A Python package for feature selection on a simulated data stream

MambaOut

MambaOut: Do We Really Need Mamba for Vision?

pykan

Kolmogorov Arnold Networks

gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

mamba

Mamba SSM architecture

mamba

The Fast Cross-Platform Package Manager

MonoGS

[CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM

Trans6D-32K_Dataset

Video-Swin-Transformer

This is an official implementation for "Video Swin Transformers".

speedplusbaseline

PyTorch implementations of CNNs and domain-bridging algorithms used in baseline studies of SPEED+ dataset

SuperPointPretrainedNetwork

PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

EpMineEnv

XrayPULSE

AAAI2020

Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data

Demo

Sparse PCA via L2,0-Norm Constrained Optimization for Unsupervised Feature Selection

KNMFS

Unsupervised Feature Selection Method Based on Matrix Factorization and Graph Modularity

awesome-source-free-test-time-adaptation

A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

EATA

Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting

TAST

Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23

MCD_DA

gipso-sfouda

Official Pytorch implementation of the ECCV 2022 paper "GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation"