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handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hardware-cnn

A convolutional neural network implemented in hardware (verilog)

hdl

HDL libraries and projects

high-quality-ellipse-detection

A high-quality ellipse detector based on arc-support line segments which can both accurately and efficiently detect ellipses in images.

hls4ml

Machine learning in FPGAs using HLS

hlx_examples

Open Source HLx Examples

imgaug

Image augmentation for machine learning experiments.

introtodeeplearning_labs

Lab Materials for MIT 6.S191: Introduction to Deep Learning

ios_tensorflow_objectdetection_example

An iOS application of Tensorflow Object Detection with different models: SSD with Mobilenet, SSD with InceptionV2, Faster-RCNN-resnet101

ipmslam

slam of roads with IPM

iris_lama

LaMa - A Localization and Mapping library

iros2021-slam-paper-list

IROS 2021 SLAM paper list

lane-segmentation-solution-for-baiduai-autonomous-driving-competition

Lane Segmentation Solution for Baidu AI PaddlePaddle Autonomous Driving Competition(1st Place)

lanedetection_end2end

End-to-end Lane Detection for Self-Driving Cars

learn-gpgpu

Algorithms implemented in CUDA + resources about GPGPU

learning-to-see-in-the-dark

Learning to See in the Dark. CVPR 2018

lee-slam-source

SLAM 开发学习资源与经验分享

librsf

A robust sensor fusion library for online localization.

lidar-based-odometry-using-ekf-and-ndt-matching-algorithm-running-on-gpu

This repository is work at the Embedded Computing Lab at Worcester Polytechnic Institute. A map around WPI is used for localization. NDT algorithm is used for scan matching and finding the pose of the vehicle in the map.

lidarobstacledetection

Lidar Obstacle Detection

lidar_cam_fusion

lidar_for_ad_references

A list of references on lidar point cloud processing for autonomous driving

loss-family

Some classical and cutting-edge loss in semantic segmentation task

mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

machinelearning

Machine Learning in Action（机器学习实战）

mahonyahrs

map_compression

Implementation of: 3D LiDAR Map Compression for Efficient Localization on Resource Constrained Vehicles

math-of-machine-learning-course-by-siraj

Implements common machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

ml-arsenal-public

Full pipeline of a data science competition (public version)

mobile-ai-bench

Benchmarking Neural Network Inference on Mobile Devices