qdLMF

qdLMF's Stars

• quanzaihh/Neural-Network-Accelerator

  A Convolutional Neural Network Accelerator implementation on FPGA, xilinx （xczu7ev-ffvc1156-2-i）, The inference of yolov8 took 60ms.

  Language:Verilog25631

• Zhefan-Xu/LV-DOT

  LV-DOT: LiDAR-Visual Dynamic Obstacle Detection and Tracking (C++/Python/ROS)

  Language:C++12413

• Joanna-HE/LIGO.

  Language:C++17121

• chrischoy/DeepGlobalRegistration

  [CVPR 2020 Oral] A differentiable framework for 3D registration

  Language:Python51287

• lucasjinreal/Namo-R1

  A CPU Realtime VLM in 500M. Surpassed Moondream2 and SmolVLM. Training from scratch with ease.

  Language:Python17416

• YOUNG-bit/open_semantic_slam

  ICRA2025: OpenGS-SLAM: Open-Set Dense Semantic SLAM with 3D Gaussian Splatting for Object-Level Scene Understanding

  Language:Cuda1472

• All-Hands-AI/OpenHands

  🙌 OpenHands: Code Less, Make More

  Language:Python52.3k5.8k

• camel-ai/owl

  🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

  Language:Python15.1k1.8k

• fanyazhi/Sparse-Matrix

  CRS (Compressed Row Storage) Sparse Matrix ver 2.5

  Language:C++3

• LeeBY68/Hier-SLAM

  🌳 [ICRA'25] Hier-SLAM: Semantic Gaussian Splatting SLAM with Hierarchical Categorical Representation

  17

• JD-hust/gs-dso

  a monocular direct sparse odometry with prior continuous 3D gaussian maps for indoor environments

  Language:C++372

• JeffLIrion/python-graphslam

  Graph SLAM solver in Python

  Language:Python22829

• TUMFTM/MiscalibrationDetection

  Camera & LIDAR Miscalibration Detection Algorithm

  Language:Python11

• deepseek-ai/FlashMLA

  FlashMLA: Efficient MLA decoding kernels

  Language:C++11.4k816

• deepseek-ai/DeepEP

  DeepEP: an efficient expert-parallel communication library

  Language:Cuda7.4k693

• deepseek-ai/3FS

  A high-performance distributed file system designed to address the challenges of AI training and inference workloads.

  Language:C++8.5k828

• deepseek-ai/DeepGEMM

  DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling

  Language:Cuda5.1k539

• luohongk/SLAM3R

  [CVPR 2025] Real-time dense scene reconstruction with SLAM3R

  1

• liw95/LightLoc

  [CVPR2025] LightLoc: Learning Outdoor LiDAR Localization at Light Speed

  492

• MekkCyber/CutlassAcademy

  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS

  1566

• 3DAgentWorld/OpenGS-SLAM

  RGB-Only Gaussian Splatting SLAM for Unbounded Outdoor Scenes (ICRA 2025)

  Language:Python1057

• PetWorm/IMU-Preintegration-Propogation-Doc

  中文文档：IMU预积分总结与公式推导

  15128

• MrNeRF/optimized-fused-ssim

  Optmized Fused-SSIM

  Language:Cuda572

• xuxw98/ESAM

  [ICLR 2025, Oral] EmbodiedSAM: Online Segment Any 3D Thing in Real Time

  Language:Python44621

• tlc-pack/cutlass_fpA_intB_gemm

  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer

  Language:C++9123

• SlamCabbage/NDTMC-LIO-SAM

  [IROS2024] A SLAM method combined with NDTMC and LIO-SAM.

  Language:C++9812

• mit-lean/GMMap

  GMMap: Memory-Efficient Continous Occupancy Map Using Gaussian Mixture Model

  491

• ColfaxResearch/cutlass-kernels

  Language:Cuda19331

• tgale96/grouped_gemm

  PyTorch bindings for CUTLASS grouped GEMM.

  Language:Cuda7853

• zju3dv/SAM-Graph

  Code for "SAM-guided Graph Cut for 3D Instance Segmentation" ECCV 2024

  Language:Python1124