sp9103

sp9103's Stars

• astral-sh/uv

  An extremely fast Python package and project manager, written in Rust.

  Language:Rust44.4k885.6k1.2k

• ultralytics/ultralytics

  Ultralytics YOLO11 🚀

  Language:Python38k18910.6k7.4k

• tqdm/tqdm

  :zap: A Fast, Extensible Progress Bar for Python and CLI

  Language:Python29.5k2111k1.4k

• HigherOrderCO/Bend

  A massively parallel, high-level programming language

  Language:Rust18.5k115265459

• fastapi/typer

  Typer, build great CLIs. Easy to code. Based on Python type hints.

  Language:Python16.6k79332714

• facebookresearch/segment-anything-2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook11.1k64259944

• princeton-vl/infinigen

  Infinite Photorealistic Worlds using Procedural Generation

  Language:Python6.3k94347509

• XuehaiPan/nvitop

  An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

  Language:Python5.3k2596162

• naver/mast3r

  Grounding Image Matching in 3D with MASt3R

  Language:Python1.9k3298150

• IDEA-Research/Grounded-SAM-2

  Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2

  Language:Jupyter Notebook1.8k1166175

• colmap/glomap

  GLOMAP - Global Structured-from-Motion Revisited

  Language:C++1.7k27116119

• OpenGenerativeAI/llm-colosseum

  Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM

  Language:Jupyter Notebook1.4k2030169

• Tencent/DepthCrafter

  DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos

  Language:Python1.2k515066

• facebookresearch/vggsfm

  VGGSfM: Visual Geometry Grounded Deep Structure From Motion

  Language:Python985289077

• HengyiWang/spann3r

  [3DV'25] 3D Reconstruction with Spatial Memory

  Language:Python961174446

• PruneTruong/DenseMatching

  Dense matching library based on PyTorch

  Language:Python712173284

• btsmart/splatt3r

  Official repository for Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs

  Language:Python642143423

• gaopengcuhk/Tip-Adapter

  Language:Python59263047

• zhangxy0517/3D-Registration-with-Maximal-Cliques

  [CVPR 2023, BSP] 3D Registration with Maximal Cliques

  Language:C++49146556

• danini/magsac

  The MAGSAC algorithm for robust model fitting without using an inlier-outlier threshold

  Language:C++447193066

• princeton-vl/SEA-RAFT

  [ECCV2024 - Oral, Best Paper Award Candidate] SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow

  Language:Python432102625

• robustsam/RobustSAM

  RobustSAM: Segment Anything Robustly on Degraded Images (CVPR 2024 Highlight)

  Language:Python33952630

• apple/ml-aspanformer

  Language:Python22716028

• vignywang/Awesome-Local-Feature-Matching

  130600

• Forrest-110/FastMAC

  Source code of CVPR 2024 paper 'FastMAC: Stochastic Spectral Sampling of Correspondence Graph'

  Language:Python109568

• nv-nguyen/bop_viz_kit

  Visualization kit for BOP benchmark

  Language:Python37113

• taeyeopl/Object-Pose-Estimation-CVPR-2024

  26210

• weitong8591/ars_magsac

  The code for ICCV 2023 paper, Adaptive Reordering Sampler with Neurally Guided MAGSAC

  Language:Python21341

• fulliu/lc

  Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation

  Language:Python15140

• taeyeopl/bop_sam2_hot3d

  Language:Jupyter Notebook5300