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aiinfer

autodeeplab

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

cam_lidar_calibration

This package estimates the calibration parameters that transforms the camera frame (parent) into the lidar frame (child)

cuda-convnet

Automatically exported from code.google.com/p/cuda-convnet

ddsas

deconvnet

DeconvNet : Learning Deconvolution Network for Semantic Segmentation

distlearnkit

distance learning toolkit

facil

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

few-shot-object-detection

Implementations of few-shot object detection benchmarks

few-shot-semantic-segmentation-papers

Few Shot Semantic Segmentation Papers

gnnpapers

Must-read papers on graph neural networks (GNN)

graphneuralnetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

gsl_test

based on GNU gsl, genetation of quintic line

handong1587.github.io

hello_world

learn how to create Repository

imxrt1020-module

iMX RT 1020 CPU module

inverse-reinforcement-learning

irl_algorithms

Inverse Reinforcement Learning Algorithms

mobilesam

This is the offiicial code for Faster Segment Anything (MobileSAM) project that makes SAM lightweight

mrpt

:zap: The Mobile Robot Programming Toolkit (MRPT)

neo

comma neo research platform

octree

Fast radius neighbor search with an Octree (ICRA 2015)

off-road-freespace-detection

Official implementation of our ICRA'22 paper: ORFD: A Dataset and Benchmark for Off-Road Freespace Detection

onnx-custom-plugin

This repo demonstrates how to use plugins written in C++ with the TensorRT Python bindings and onnx Parser.

open_karto

Catkinized ROS Package of the OpenKarto Library (LGPL3)

opencvblobslib

openpilot

open source driving agent

pku_wh

stm32 project for pku-wheelchair

point-cloud-regularization

A structured optimization framework for spatially regularizing point clouds classification

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593