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

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

State estimation and filtering algorithms in Go

Hiding Images within other images using Deep Learning

Lane Detection for Self Driving Car

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

Computer Vision model to detect face in the first frame of a video and to continue tracking it in the rest of the video. This is implemented in OpenCV 3.3.0 and Python 2.7

Deep Learning for Time Series Classification

convolutional lstm implementation in pytorch

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

This is an open sourced book on deep learning.

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

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

Detect vehicles in a video

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

HDLTex: Hierarchical Deep Learning for Text Classification

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

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

Medical image registration using deep learning

PyTorch implementation of Super SloMo by Jiang et al.

Udacity Self-Driving Car Nanodegree - Path Planning Project

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

PyTorch implementation of LeNet-5 with live visualization

Contains coursera robotics specialization assignment codes

Lane identification system for camera based systems.

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

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

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.

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

TensorFlow implementation of "SoundNet".

machine learning and deep learning tutorials, articles and other resources

Deep neural network to extract intelligent information from invoice documents.

easy convolution neural network

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

A curated list of awesome deep learning applications in the field of neurological image analysis

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

Real time face alignment

Reproduce CheXNet

A binary library for very fast face detection using compact CNNs.

This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.

Hand-gesture recognition on iOS app using CoreML

Attention-guided CNN for image denoising(Neural Networks,2020)

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

All Terrain Autonomous Quadruped

MR-CNNs for Large-Scale Scene Recognition

DeepPose implementation on TensorFlow. Original Paper http://arxiv.org/abs/1312.4659

Scenarios, tutorials and demos for Autonomous Driving

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

Sequential Monte Carlo in python

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow

Various CNN models for CIFAR10 with Chainer

aw_nas: A Modularized and Extensible NAS Framework

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

repo that holds code for improving on dropout using Stochastic Delta Rule

Identifying people from small audio fragments

Vehicle Detection with Convolutional Neural Network

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

PyTorch Implementation of PIXOR