1130 Open source projects that are alternatives of or similar to Self Driving Car

Visualizations of algorithms covered in Sebastian Thrun's excellent Artificial Intelligence for Robotics course on Udacity.

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Computer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program

Lane detection MATLAB code for Kalman Filter book chapter: Lane Detection

Cool Vision projects

Vehicle detection using YOLO in Keras runs at 21FPS

This is an open sourced book on deep learning.

SHAInet - a pure Crystal machine learning library

deeplearning.ai , By Andrew Ng, All video link

💃 Real-time single person pose estimation for Android and iOS.

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Lane depertaure and Yolo objection detection C++ Linux

Term 1, Project 5 - Udacity Self Driving Car Nanodegree

Keras tutorial for beginners (using TF backend)

Lane Detection for Self Driving Car

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Emotion recognition using DNN with tensorflow

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

Be Driven 🚘

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

ConvNets for Audio Recognition using Google Commands Dataset

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

PyTorch tutorial for learners

A flexible, modern, C++ recursive Bayesian estimation library.

This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).

This is an implementation of various algorithms and techniques required to build a simple Self Driving Car. A modified versions of the Udacity Self Driving Car Simulator is used as a testing environment.

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

RMDL: Random Multimodel Deep Learning for Classification

Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

Deep Learning for Time Series Classification

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

A paper list with code of lane detection.

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

A collection of all projects pertaining to different layers in the SDC software stack

The Official Deep Learning Framework for Route-based Place Recognition

Breast Cancer Classification using CNN and transfer learning

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

Deep Learning in Haskell

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

Automated Driving in NFS using CNN.

Top 200 deep learning Github repositories sorted by the number of stars.

Perform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

PyTorch implementation of LeNet-5 with live visualization

convolutional lstm implementation in pytorch

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

Lane identification system for camera based systems.

Udacity Self-Driving Car Engineer Nanodegree. Project: Extended Kalman Filters

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras