feichaiyu

feichaiyu's Stars

• wangzyon/NVIDIA_SGEMM_PRACTICE

  Step-by-step optimization of CUDA SGEMM

  Language:Cuda24740

• WhoTHU/Adversarial_camou

  Language:Python262

• Jieqianyu/SGN

  Implementation of IEEE TIP 2024 paper - "Camera-based Semantic Scene Completion with Sparse Guidance Network"

  Language:Python324

• Sharpiless/Awesome-Depth-Completion

  2018-2024 in-depth completion of top papers, open source code summary! (Continuous update)

  9

• cvg/depthsplat

  DepthSplat: Connecting Gaussian Splatting and Depth

  Language:Python59625

• godweiyang/NN-CUDA-Example

  Several simple examples for popular neural network toolkits calling custom CUDA operators.

  Language:Python1.4k190

• zhaofuq/LOD-3DGS

  LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian(Published in SIGGRAPH Asia 2024)

  Language:Python27334

• NVIDIA/DL4AGX

  Deep Learning tools and applications for NVIDIA AGX platforms.

  Language:Shell16531

• autowarefoundation/autoware.universe

  Language:C++1k657

• DefTruth/CUDA-Learn-Notes

  📚150+ Tensor/CUDA Cores Kernels, ⚡️flash-attention-mma, ⚡️hgemm with WMMA, MMA and CuTe (98%~100% TFLOPS of cuBLAS 🎉🎉).

  Language:Cuda1.6k173

• AimRT/AimRT

  A high-performance runtime framework for modern robotics.

  Language:C++853119

• Junda24/AFNet

  [CVPR 2024] Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving

  Language:Python1469

• hiroharu-kato/style_transfer_3d

  Code of 2D-to-3D style transfer in the paper "Neural 3D Mesh Renderer" by H. Kato, Y. Ushiku, and T. Harada.

  Language:Python13929

• comfyanonymous/ComfyUI_TensorRT

  Language:Python52737

• WHU-USI3DV/SparseDC

  [Information Fusion 2024] SparseDC: Depth Completion From Sparse and Non-uniform Inputs

  Language:Python1186

• muskie82/MonoGS

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

  Language:Python1.4k136

• chenxiaoyu523/Sparsity-Invariant-CNNs-pytorch

  Reproduced codes for paper “Sparsity Invariant CNNs”

  Language:Python305

• fangchangma/self-supervised-depth-completion

  ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

  Language:Python630134

• noahzn/Lite-Mono

  [CVPR2023] Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation

  Language:Python56068

• ziyc/drivestudio

  A 3DGS framework for omni urban scene reconstruction and simulation.

  Language:Python63257

• qianyu-dlut/MVANet

  Language:Python11612

• rlggyp/YOLOv10-OpenVINO-CPP-Inference

  YOLOv10 C++ implementation using OpenVINO for efficient and accurate real-time object detection.

  Language:C++585

• nkymzsy/LIO-SAM-MID360

  Language:C++21437

• TixiaoShan/LIO-SAM

  LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

  Language:C++3.5k1.3k

• caochao39/mtare_planner

  Language:C++614

• What-a-stupid-username/MRPNN

  A Neural Volumetric Renderer

  Language:Cuda21911

• facebookresearch/pytorch3d

  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

  Language:Python8.9k1.3k

• XidianLemon/calibration_camera_lidar

  从autoware分离出来的相机雷达联合标定ros包

  Language:C++32361

• wuyang98/Text2LiDAR

  Language:Jupyter Notebook443

• Liansheng-Wang/faster_lio_localization

  Livox-Mid-360 Used in UAV based faster-lio. Add localization mode in built maps.

  Language:C++1158