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self-driving-car-ai

A simple self-driving car AI python script using the deep Q-learning algorithm

self-driving-car-nd

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

self-driving-car-sim

A self-driving car simulator built with Unity

self-driving-car-vehicle-detection

Self Driving Car Vehicle Detection

self-driving-truck

Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning

semantic_segmentation_for_autonomous_driving

Various networks that could be the basis of a vision system for self-driving cars

senet

Squeeze-and-Excitation Networks

senet.mxnet

:fire::fire: A MXNet implementation of Squeeze-and-Excitation Networks (SE-ResNext, SE-Resnet, SE-Inception-v4 and SE-Inception-Resnet-v2) :fire::fire:

sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

shufflenet

ShuffleNet Implementation in TensorFlow

siamfc-tf

State-of-the-art object tracking at high framerates, in TensorFlow.

sknet

try to implement the CVPR 2019 paper "Selective Kernel Networks" by PyTorch

slam

learning SLAM,curse,paper and others

sparse_convolution

sparse convolution Implementation

spatial-transformer-network

A Tensorflow Implementation of Spatial Transformer Networks

speed-accuracy-trade-offs-for-modern-convolutional-object-detectors

The purpose of this project is to reimplement the following paper: https://arxiv.org/pdf/1611.10012.pdf using tensorflow

speedchallenge

squeezedet

A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.

squeezedetmx

squeezeDet for object detection port to MXNet

squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

squeezenet-deep-compression

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

ssd_tensorflow

SSD implementation in development in TensorFlow

ssd_tensorflow_traffic_sign_detection

Implementation of Single Shot MultiBox Detector in TensorFlow, to detect and classify traffic signs

st3d

(CVPR 2021) ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection

stanford_self_driving_car_code

Stanford Code From Cars That Entered DARPA Grand Challenges

statlearning-notebooks

Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).

stereo_dso

subcnn

Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection

superpixel-benchmark

An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.