vanguard478

vanguard478's Stars

• IDEA-Research/T-Rex

  [ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy

  Language:Python2.1k124

• Kaiwei0323/SNPE_Yolov5_Model_Conversion

  Language:Python1

• quic/qidk

  Language:C9318

• globaledgesoft/Lane-Detection-Using-YOLOP-on-RB5

  The project is intended to demonstrate Lane tracking & detection on Qualcomm’s Robotics Platform RB5. YOLOP is the architecture used to implement this solution on top of the BDD100K Dataset. The inference is done using SNPE on RB5 with DSP Hardware accelerator, and it achieves the performance of 4.15 FPS.

  Language:C++61

• fujitatomoya/rcl_logging_syslog

  rcl_logging_syslog is alternative logging backend implementation that can be used for ROS 2 application via rcl_logging_interface.

  Language:C++43

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook13k1k

• oren12321/jetson-image

  Language:Shell2

• columbia-university-robotics/self-driving-car

  Self-Driving Car for Columbia Robotics Club F1TENTH

  Language:C++8

• jason10191019/yolov7_on_snpe

  Language:C++4

• gesanqiu/SNPE_Tutorial

  A simple tutorial of SNPE.

  Language:C++13738

• KoKoLates/snpe-yolov7-inference

  A yolov7 tiny model inference applied on qualcomm snpe for pedestrian detection with embedded system.

  Language:C++93

• mikel-brostrom/boxmot

  BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

  Language:Python6.5k1.7k

• MIT-SPARK/Kimera-VIO

  Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

  Language:C++1.5k415

• yifanlu0227/MIT-6.5940

  All Homeworks for TinyML and Efficient Deep Learning Computing 6.5940 • Fall • 2023 • https://efficientml.ai

  Language:Jupyter Notebook10045

• NVIDIA-AI-IOT/jetson-copilot

  A reference application for a local AI assistant with LLM and RAG

  Language:Python7911

• jrhemstad/example_cuda_benchmark

  Template repository for CUDA enabled benchmarks using Google Benchmark

  Language:CMake72

• marcoslucianops/DeepStream-Yolo

  NVIDIA DeepStream SDK 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

  Language:C++1.4k354

• nvim-lua/kickstart.nvim

  A launch point for your personal nvim configuration

  Language:Lua18.2k20.1k

• Deci-AI/super-gradients

  Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

  Language:Jupyter Notebook4.5k489

• quic/aimet

  AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

  Language:Python2.1k373

• shouxieai/tensorRT_Pro

  C++ library based on tensorrt integration

  Language:C++2.5k544

• NVIDIA/trt-samples-for-hackathon-cn

  Simple samples for TensorRT programming

  Language:Python1.5k337

• rmccorm4/tensorrt-utils

  ⚡ Useful scripts when using TensorRT

  Language:Python23755

• NVlabs/FoundationPose

  [CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects

  Language:Python1.3k171

• NVIDIA/TensorRT-Model-Optimizer

  TensorRT Model Optimizer is a unified library of state-of-the-art model optimization techniques such as quantization and sparsity. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed on NVIDIA GPUs.

  Language:Python41625

• WongKinYiu/YOLO

  An MIT rewrite of YOLOv9

  Language:Python46146

• quic/ai-hub-models

  The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

  Language:Python40956

• DataTalksClub/mlops-zoomcamp

  Free MLOps course from DataTalks.Club

  Language:Jupyter Notebook10.9k2.1k

• uber-research/TuRBO

  Language:Python18052

• facebookresearch/robust_mobo

  Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"

  Language:Jupyter Notebook485