ChenDoubleJ's Stars
krahets/hello-algo
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
amusi/CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
awesome-NeRF/awesome-NeRF
A curated list of awesome neural radiance fields papers
yuqinie98/PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
thuml/iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
yashbhalgat/HashNeRF-pytorch
Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/
LeapLabTHU/DAT
Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention
ZrrSkywalker/Point-NN
[CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
lucidrains/iTransformer
Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
LeapLabTHU/FLatten-Transformer
Official repository of FLatten Transformer (ICCV2023)
yangkang2021/nerf-learn
记录对nerf各种算法、应用、软件等等的学习过程
facebookresearch/nonrigid_nerf
Open source repository for the code accompanying the paper 'Non-Rigid Neural Radiance Fields Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video'.
octree-nn/octformer
OctFormer: Octree-based Transformers for 3D Point Clouds
WanquanF/NeuralPoints
【Code of CVPR 2022 paper】Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling
wzhwzhwzh0921/S-D-Mamba
Code for "Is Mamba Effective for Time Series Forecasting?"
mit-han-lab/flatformer
[CVPR'23] FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
mlvlab/SPoTr
Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).
JunweiZheng93/APES
Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023
nikhilbarhate99/Actor-Critic-PyTorch
Policy Gradient Actor-Critic PyTorch | Lunar Lander v2
yunhe20/Grad-PU
This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions" (CVPR 2023).
alanyoungCN/WaveForM
PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (AAAI 2023)
chenlongwhu/PC2-PU
ACM MM 2022
rwth-irt/DeepNLOSDetection
Learning-based NLOS Detection and Uncertainty Estimation of GNSS Observations with Self-Attention Enhanced LSTM Network
xnowbzhao/PU-SSAS
Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling (TPAMI 2023)
liuqdev/stanford.cs231n.chinese
Stanford cs231n Translation.学习斯坦福大学cs231n课程,所做的笔记,文档,作业等的中文翻译
alanzty/MO3TR
An official implementation of Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers
liuhuiWLH/SN-Adapter
[WACV 2023] Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis
ChenDoubleJ/CIPT
CIPT