6255 Open source projects that are alternatives of or similar to Dynslam

Python sample codes for robotics algorithms.

Player/Stage SLAM

Autonomous ground exploration mobile robot which has 3-DOF manipulator with Intel Realsense D435i mounted on a Tracked skid-steer drive mobile robot. The robot is capable of mapping spaces, exploration through RRT, SLAM and 3D pose estimation of objects around it. This is an custom robot with self built URDF model.The Robot uses ROS's navigation…

solution of exercises of the book "probabilistic robotics"

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

Scenarios, tutorials and demos for Autonomous Driving

Julia sample codes for Autonomy, Robotics and Self-Driving Algorithms.

capsule networks that achieves outstanding performance on the German traffic sign dataset

Learning human driver models from NGSIM data with imitation learning.

首个中文的简单从零开始实现视觉SLAM理论与实践教程，使用Python实现。包括：ORB特征点提取，对极几何，视觉里程计后端优化，实时三维重建地图。A easy SLAM practical tutorial (Python).图像处理、otsu二值化。更多其他教程我的CSDN博客

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

An autonomous vehicle written in python

an awesome list of self-driving algorithms, software, tools

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes

A driving dataset for the development and validation of fused pose estimators and mapping algorithms

Learning to trade under the reinforcement learning framework

stats of Chinese developers. 统计中国程序员的就业情况

Boxes.py - laser cutting boxes and more

GNN综述阅读报告

Curso de Introducción a Machine Learning con Python

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

Python package for Bayesian Machine Learning with scikit-learn API

D3 block magic for Jupyter notebook.

Data and analysis for 'Machine Bias'

DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups

SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

A collection of infrastructure and tools for research in neural network interpretability.

A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.

Text and supporting code for Modeling and Simulation in Python

A Python Library for Self Organizing Map (SOM)

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

¡Camino a una educación autodidacta en Ciencia de Datos!

A machine learning library for detecting anomalies in signals.

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

A one-stop repository for low-code easily-installable object detection pipelines.

H2O.ai Machine Learning Interpretability Resources

Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Light-weight Single Person Pose Estimator

Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.

Face Image Motion Model (Photo-2-Video) based on "first-order-model" repository.

Swift for TensorFlow's high-level API, modeled after fastai

Code for the TCAV ML interpretability project

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Multi Task Vision and Language

CORTX Community Object Storage is 100% open source object storage uniquely optimized for mass capacity storage devices.

Financial Sentiment Analysis with BERT

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Single Shot MultiBox Detector in TensorFlow

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Notebook to download machine learning flashcards

开发 bilibili 网站爬虫，大数据分析研究

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Pandas Cookbook, published by Packt

End to end detection in crowded scenes

Udacity's Self-Driving Car Nanodegree project files and notes.

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge