chaogeSDK's Stars
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
HKUST-Aerial-Robotics/VINS-Fusion
An optimization-based multi-sensor state estimator
yanmin-wu/EAO-SLAM
[IROS 2020] EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
HKUST-Aerial-Robotics/MVDepthNet
This repository provides PyTorch implementation for 3DV 2018 paper "MVDepthNet: real-time multiview depth estimation neural network"
dragen1860/Deep-Learning-with-TensorFlow-book
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
AlexeyAB/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
tum-vision/LDSO
DSO with SIM(3) pose graph optimization and loop closure
zylo117/Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
fengzhenHIT/OpenCV-contrib-module-Chinese-Tutorials
OpenCV 扩展模块教程
zergtant/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
Technologicat/cython-sse-example
Simple example for embedding SSE2 assembly in Cython projects
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
uoip/pangolin
Python binding of 3D visualization library Pangolin
cython/cython
The most widely used Python to C compiler
manash-biswal/Python-Books
philberty/cython-book
Learning Cython packtpub.com code examples.
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
AndreiBarsan/DynSLAM
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
SpyderXu/multi-object-tracking-paper-list
Paper list and source code for multi-object-tracking
uoip/stereo_msckf
Python implementation of Multi-State Constraint Kalman Filter (MSCKF) for Vision-aided Inertial Navigation.
uoip/g2opy
Python binding of SLAM graph optimization framework g2o
tmadl/python-LS-SLAM
Least squares SLAM backend for pose graph-based loop closure in Python
georgeerol/MapAWorldWithSlamAndACustomRobot
This project is about implementing SLAM(Simultaneous Localization and Mapping) with RTAB-MAP(Real-Time Appereance-Base Mapping).
dsgiitr/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
kemaloksuz/ObjectDetectionImbalance
Lists the papers related to imbalance problems in object detection [TPAMI]
nebula-beta/PatchMatch
PathMatch is the state-of-the-art stereo match algorithm framework.
JakobEngel/dso
Direct Sparse Odometry
raulmur/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
nicolov/vslam_evaluation
Evaluation of open-source visual SLAM packages