TienPhuocNguyen

TienPhuocNguyen's Stars

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python20.6k260722.6k

• AnthonyCalandra/modern-cpp-features

  A cheatsheet of modern C++ language and library features.

  19.9k792612.1k

• cyrildiagne/ar-cutpaste

  Cut and paste your surroundings using AR

  Language:TypeScript14.6k56202.1k

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.6k103831.9k

• cartographer-project/cartographer

  Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

  Language:C++7.2k3846582.3k

• open-mmlab/mmdetection3d

  OpenMMLab's next-generation platform for general 3D object detection.

  Language:Python5.4k611.6k1.6k

• alirezadir/Production-Level-Deep-Learning

  A guideline for building practical production-level deep learning systems to be deployed in real world applications.

  4.4k1663650

• obss/sahi

  Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

  Language:Python4.2k440606

• openvinotoolkit/anomalib

  An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

  Language:Python3.9k40930694

• HKUST-Aerial-Robotics/Fast-Planner

  A Robust and Efficient Trajectory Planner for Quadrotors

  Language:C++2.5k55169675

• hunglc007/tensorflow-yolov4-tflite

  YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

  Language:Python2.3k444301.2k

• princeton-vl/DROID-SLAM

  Language:Python1.9k42127306

• filipdutescu/modern-cpp-template

  A template for modern C++ projects using CMake, Clang-Format, CI, unit testing and more, with support for downstream inclusion.

  Language:CMake1.8k3835215

• changh95/visual-slam-roadmap

  Roadmap to become a Visual-SLAM developer in 2023

  1.4k474144

• Deephome/Awesome-LiDAR-Camera-Calibration

  A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes

  978247144

• tum-vision/tandem

  [CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo

  Language:C++9264059152

• huawei-noah/noah-research

  Noah Research

  Language:Python87630126161

• johannes-graeter/limo

  Lidar-Monocular Visual Odometry

  Language:C++8273577232

• VladyslavUsenko/basalt

  Mirror of the Basalt repository. All pull requests and issues should be sent to https://gitlab.com/VladyslavUsenko/basalt

  Language:C++735370211

• KumarRobotics/kr_autonomous_flight

  KR (KumarRobotics) autonomous flight system for GPS-denied quadrotors

  Language:C++6882548120

• jczarnowski/DeepFactors

  Real-Time Probabilistic Dense Monocular SLAM Using Compact Code Representation

  Language:C++629472885

• wh200720041/iscloam

  Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020

  Language:C++5852330134

• TRI-ML/dd3d

  Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.

  Language:Python471224975

• visualbuffer/copilot

  Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

  Language:Jupyter Notebook16021054

• hyBlue/FSRE-Depth

  Python3 / PyTorch implementation of the following paper: Fine-grained Semantics-aware Representation Enhancement for Self-supervisedMonocular Depth Estimation. ICCV 2021 (oral)

  Language:Python886145

• BKhomutenko/visgeom

  Visual geometry and camera calibration C++ framework

  Language:C++605417

• sysmm/quasi-dense

  The code is available at https://github.com/ethvis/qd-track

  461913

• iVS3D/iVS3D

  iVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing Alleviating 3D Reconstruction

  Language:C++16301

• DaoyiG/Dense-Monocular-3D-Mapping-for-AR

  Group Project of lab course PLARR TUM SS2020

  Language:C++12203

• kentamt/v_disparity

  An implementation of V-disparity

  Language:Python9205