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libmtl

A PyTorch Library for Multi-Task Learning

lidar_align

A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor

lidar_for_ad_references

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

lightnet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

line-detection

linorobot

ROS Compatible ground robots (2WD, 4WD, Ackermann Steering, Mecanum Drive)

lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv6, YOLOR, MODNet, YOLOX, YOLOv7, YOLOv5. MNN, NCNN, TNN, ONNXRuntime.

llava

[NeurIPS'23 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities.

lprnet_pytorch

Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.

lyft-perception-challenge

The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)

machinelearning

Machine learning code base of Meng Li

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mae-pytorch

Masked Autoencoders Are Scalable Vision Learners

master-thesis

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

meshlab

The open source mesh processing system

mgnet

Code release for "MGNet: Monocular Geometric Scene Understanding for Autonomous Driving"

midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

mit-6.s094

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

mit-6.s094-deep-learning-for-self-driving-cars

ml-kws-for-mcu

Keyword spotting on Arm Cortex-M Microcontrollers

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

mobilesam

This is the offiicial code for MobileSAM project that makes Segment Anything Model lightweight and faster

model-predictive-control

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.

model-predictive-control-1

C++ implementation of Model Predictive Control(MPC)

monocular-obstacle-avoidance

The code for the paper "Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning"

monocular-vehicle-localization

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

monodepth

Unsupervised single image depth prediction with CNNs

monogrnet

MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Detection and Localization | KITTI

monovo-python

A simple monocular visual odometry project in Python

mpc

A software pipeline using the Model Predictive Control method to drive a car around a virtual track.