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aprilsam

SLAM optimization algorithm

awesome-bev-perception-multi-cameras

Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird-Eye-View, such as DETR3D, BEVDet, BEVFormer

awesome-lane-detection

A paper list of lane detection.

awesome_3dreconstruction_list

A curated list of papers & resources linked to 3D reconstruction from images.

bevformer

This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

bevfusion

Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

caffe

Caffe: a fast open framework for deep learning.

caltech-lane-detection

Caltech Lane Detection Software

centertrack

Simultaneous object detection and tracking using center points.

ceres-solver

A large scale non-linear optimization library

chainer_computational_cost

Estimate theoretical computational cost of a chainer-based neural network

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cross-view

[CVPR'21] Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-view Transformation

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

darknet

Windows and Linux version of Darknet Yolo v4 (v3/v2) Neural Networks for object detection (Tensor Cores are used)

dat

Repository of Vision Transformer with Deformable Attention

deep-learning

personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout， 三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN

deep-learning-book

《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearningbook-chinese

Deep Learning Book Chinese Translation

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dogma

Dynamic Occupancy Grid Maps

dqn_zoo

dynamic-occupancy-grid-map

Implementation of A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application

exampleimm

This is an implement on the algorithm of the interacting multiple model algorithm.

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

floatx

Header-only C++ library for low precision floating point type emulation.

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

geography_coordinate_transform_lite

The project is mainly to achieve the conversion between the geographic coordinate system, which has been achieved Mocato projection and latitude and longitude lossless conversion