yanwu-ge Goto Github PK

alepython

Python Accumulated Local Effects package

apollo

An open autonomous driving platform

attentionhtr

Attention-based sequence-to-sequence model for handwritten word recognition

awesome-background-subtraction

A curated list of background subtraction related papers and resources

awesome-carla

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

awesome-interaction-aware-trajectory-prediction

A selection of state-of-the-art research materials on trajectory prediction

awesome-radar-perception

A curated list of radar datasets, detection, tracking and fusion

bevfusion

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

bgslibrary

A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT

carla

Open-source simulator for autonomous driving research.

carla-dataset-runner

Data collector for CARLA 0.9.6

carla-driving-parallel-parking

The Python API file simulates a vehicle driving in Town5 and parallel park the vehicle by wapointing.

carla-lane-detection-dataset-generation

Create a dataset to train a lane detection neural network with CARLA

carla_apollo_bridge

coding-interview-university

A complete computer science study plan to become a software engineer.

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

convnext

Code release for ConvNeXt model

crnn-pytorch

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition using Pytorch

cvpr2022-autonomous-driving

cyber_record

cyber_record offline parse tool

dagnet

PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"

dataset-api

The ApolloScape Open Dataset for Autonomous Driving and its Application.

densetnt

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

drone-dataset-tools

The goal of this repo is to make the drone datasets as easy to use as possible. For this purpose we provide source code in Python, which allows the import and visualization of the datasets.

eagermot

Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]

easyml

Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.

ethzasl_sensor_fusion

time delay single and multi sensor fusion framework based on an EKF

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.