MPCheng-ZW's Stars
Henry1iu/TNT-Trajectory-Prediction
A Unofficial Pytorch Implementation of TNT: Target-driveN Trajectory Prediction
yuweihao/MambaOut
MambaOut: Do We Really Need Mamba for Vision?
XiudingCai/Awesome-Mamba-Collection
A curated collection of papers, tutorials, videos, and other valuable resources related to Mamba.
steve-zeyu-zhang/MotionMamba
🔥 [ECCV 2024] Motion Mamba: Efficient and Long Sequence Motion Generation
XiudingCai/MambaTS-pytorch
Official code for MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting
XiongxiaoXu/SST
The official implementation of the paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting"
Atik-Ahamed/TimeMachine
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
zshicode/MambaStock
MambaStock: Selective state space model for stock prediction
wzhwzhwzh0921/S-D-Mamba
Code for "Is Mamba Effective for Time Series Forecasting?"
hustvl/Vim
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
MzeroMiko/VMamba
VMamba: Visual State Space Models,code is based on mamba
state-spaces/mamba
Mamba SSM architecture
vita-epfl/UniTraj
A Unified Framework for scalable Vehicle Trajectory Prediction, ECCV 2024
Longzhong-Lin/EDA
[AAAI 2024] Evolving and Distinct Anchors for Multimodal Motion Prediction
sshaoshuai/MTR
MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.
linhezheng19/CAT
Official implement of "CAT: Cross Attention in Vision Transformer".
swc-17/SparseDrive
SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
fangwei123456/spikingjelly
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
microsoft/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Thinklab-SJTU/Awesome-LLM4AD
A curated list of awesome LLM for Autonomous Driving resources (continually updated)
PointsCoder/GPT-Driver
Learning to Drive with GPT
opendilab/LMDrive
[CVPR 2024] LMDrive: Closed-Loop End-to-End Driving with Large Language Models
facebookresearch/theseus
A library for differentiable nonlinear optimization
carla-simulator/carla
Open-source simulator for autonomous driving research.
ridgerchu/SAD
End-to-End Autonomous Driving with Spiking Neural Networks
georgeliu233/STrajNet
[ICRA'23] Code for 'Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving'
georgeliu233/OPGP
[ITSC'23] Code for 'Occupancy Prediction-Guided Neural Planner for Autonomous Driving'
waymo-research/waymo-open-dataset
Waymo Open Dataset
autonomousvision/transfuser
[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving