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a-loam

Advanced implementation of LOAM

apollo

An open autonomous driving platform

autoware.ai

Open-source software for self-driving vehicles

battery_cycle_life_prediction_pytorch

Life cycle prediction model for batteries

batteryprobe.ai

Battery SoC prediction using a RNN autoregressive architecture implemented with Pytorch

capstoneproject

Predicting the RUL of batteries using LSTM.

carla

Open-source simulator for autonomous driving research.

cmake-examples

Useful CMake Examples

cmake-examples-chinese

快速入门CMake,通过例程学习语法。在线阅读地址：https://sfumecjf.github.io/cmake-examples-Chinese/

cnn-battery-life

cnn_lstm_battery_soc

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

convolutional-neural-network-cnn-based-prediction-of-life-of-lithium-ion-battery

Capacity Estimation of Li-Ion batteries using Convolutional Neural Network(CNN)

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

ds-slam

dynaslam

DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

kaggle-dogs_vs_cats_pytorch

kaggle competition: Dogs_vs_Cats_PyTorch Presentation（Getting started with PyTorch）

lanenet-lane-detection

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

lego-loam_noted

LeGO-LOAM代码注释与学习

loam_noted

loam code noted in Chinese（loam中文注解版）

lstm-neural-network-for-time-series-prediction

Battery data processing.

lstm_battery_rul_prediction_

ml-and-dl

self-learning

nasa

Analysis for NASA data sets

nasa-battery

nasa-battery-dataset-eda

EDA for NASA Battery Data Set

nasa_battery

netron

Visualizer for neural network, deep learning, and machine learning models

opendrive_visualize

OpenDrive Road ROS Publisher