569 Open source projects that are alternatives of or similar to Squeezeseg

无人驾驶的资源列表中文版

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network' paper https://arxiv.org/abs/1807.04067

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)

RAD: Reinforcement Learning with Augmented Data

APM Planner Ground Control Station (Qt)

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Caffe for Sparse and Low-rank Deep Neural Networks

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

A pytorch adversarial library for attack and defense methods on images and graphs

vendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers

Machine Learning Environment - alpha version

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper

Lane Detection for Self Driving Car

An open autonomous driving platform

Vehicle State Estimation using Error-State Extended Kalman Filter

MATLAB sample codes for mobile robot navigation

This repo contains C++ code for sparse scene flow method.

Gorgonia is a library that helps facilitate machine learning in Go.

Traffic Control Test Bed

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

An open source autonomous driving stack by San Jose State University Autonomous Driving Team

This is an open sourced book on deep learning.

Player/Stage SLAM

ByteNet for character-level language modelling

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

Data compression in TensorFlow

A tool converting Waymo dataset format to Kitti dataset format.

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

simobility - light-weight mobility simulation framework. Best for quick prototyping

U-Net: Convolutional Networks for Biomedical Image Segmentation

L5Kit - https://level-5.global/

VDSR (CVPR2016) pytorch implementation

Install the ROS stack, MIT RACECAR Packages, and hardware support on RACECAR/J.

A PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)

An autonomous parade float/vehicle

Recurrent Geometric Networks for end-to-end differentiable learning of protein structure

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

Keras tutorial for beginners (using TF backend)

Estimating the orientation and the relative dimensions of vehicles by producing a 3d bounding frame

YOLO for object detection tasks

Visual odometry using optical flow and neural networks

A New Optimization Technique for Deep Neural Networks

This project is to use Model Predictive Control (MPC) to drive a car in a game simulator. The server provides reference waypoints (yellow line in the demo video) via websocket, and we use MPC to compute steering and throttle commands to drive the car. The solution must be robust to 100ms latency, since it might encounter in real-world application.

Deep Reinforcement Learning library for humans

An autonomous vehicle written in python

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

Implementation of the paper "End to End Learning for Self-Driving Cars"

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

My path-planning pipeline to navigate a car safely around a virtual highway with other traffic.

Deep neural models for core NLP tasks (Pytorch version)

deep learning based speech enhancement using keras or pytorch, make it easy to use

Implementation of Papers on Adversarial Examples

TensorFlow documentation

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

PyTorch implementation of the YOLO (You Only Look Once) v2

This is the source code of the feasibility study for Autoware architecture proposal.

Action recognition using soft attention based deep recurrent neural networks