An Artificial Intelligence trying to drive a car by itself on a user created map

Last update: Jan 13, 2022

Related tags

Deep Learning Self-Driving-Car-AI

Overview

AI-For-Self-Driving-Car

Detailed explanation and a case study of the complete AI is given in the Detailed Explanation folder

Sample Installation Instructions -

Linux and Max users, please open your terminal. On Mac, the easiest way to open it is to press anywhere cmd + space, and then in the Spotlight Search you enter "terminal". On Linux, you will find it very easily, usually on the left side of your monitor. Then inside the terminal, copy paste and enter each of the following line commands separately:
1. conda install pytorch==0.3.1 -c pytorch
2. conda install -c conda-forge kivy
And Windows users, please open the anaconda prompt, which you can find this way: Windows Button in the lower left corner -> List of programs -> anaconda -> anaconda prompt Then inside the anaconda prompt, copy paste and enter each of the following line commands separately:
1. conda install -c peterjc123 pytorch-cpu
2. conda install -c conda-forge kivy

Owner

Akhil Sahukaru

GitHub Repository

MMDetection3D is an open source object detection toolbox based on PyTorch

MMDetection3D is an open source object detection toolbox based on PyTorch, towards the next-generation platform for general 3D detection. It is a part of the OpenMMLab project developed by MMLab.

3.2k Jan 05, 2023

[CVPR 2022] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

Using Unreliable Pseudo Labels Official PyTorch implementation of Semi-Supervised Semantic Segmentation Using Unreliable Pseudo Labels, CVPR 2022. Ple

268 Dec 24, 2022

Code for ECIR'20 paper Diagnosing BERT with Retrieval Heuristics

Bert Axioms This is the repository with the code for the Paper Diagnosing BERT with Retrieval Heuristics Required Data In order to run this code, you

5 Jan 21, 2022

Tensorflow implementation of soft-attention mechanism for video caption generation.

SA-tensorflow Tensorflow implementation of soft-attention mechanism for video caption generation. An example of soft-attention mechanism. The attentio

153 Nov 14, 2022

An implementation of IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification

IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification The repostiory consists of the code, results and data set links for

12 Dec 26, 2022

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

StackGAN Pytorch implementation Inception score evaluation StackGAN-v2-pytorch Tensorflow implementation for reproducing main results in the paper Sta

1.8k Dec 21, 2022

Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

Junction Tree Variational Autoencoder for Molecular Graph Generation Official implementation of our Junction Tree Variational Autoencoder https://arxi

418 Jan 07, 2023

PanopticBEV - Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images

Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images This r

63 Dec 16, 2022

DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation

DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation By Qing Xu, Wenting Duan and Na He Requirements pytorch==1.1

20 Dec 09, 2022

python debugger and anti-vm that checks if you're in a virtual machine or if someones trying to debug your file

Anti-Debug was made by Love ❌ code ✅ 🎉 ・What it checks for ・ Kills tools that can be used to debug your file ・ Exits if ran in vm (supports different

31 Aug 09, 2022

Attack classification models with transferability, black-box attack; unrestricted adversarial attacks on imagenet

Attack classification models with transferability, black-box attack; unrestricted adversarial attacks on imagenet, CVPR2021 安全AI挑战者计划第六期：ImageNet无限制对抗攻击决赛第四名（team name: Advers）

51 Dec 01, 2022

Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Diffusion Probabilistic Models This repository provides a reference implementation of the method described in the paper: Deep Unsupervised Learning us

238 Jan 02, 2023

Official repository for the NeurIPS 2021 paper Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided curriculum Learning Approach

Get Fooled for the Right Reason Official repository for the NeurIPS 2021 paper Get Fooled for the Right Reason: Improving Adversarial Robustness throu

1 Apr 25, 2022