DenseLidarNetNo description or website provided.
Stars: ✭ 35 (+34.62%)
Visualizing-lidar-dataVisualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application
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kitti-A-LOAMEasy description to run and evaluate A-LOAM with KITTI-data
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pillar-motionSelf-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)
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superresolution ganChainer implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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PyLidar3PyLidar3 is python 3 package to get data from Lidar devices from various manufacturers.
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deepOFTensorFlow implementation for "Guided Optical Flow Learning"
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chainer-LSGANLeast Squares Generative Adversarial Network implemented in Chainer
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tutorialsIntroduction to Deep Learning: Chainer Tutorials
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chainer-DenseNetDensely Connected Convolutional Network implementation by Chainer
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PointPaintingThis repository is an open-source PointPainting package which is easy to understand, deploy and run!
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DSGNDSGN: Deep Stereo Geometry Network for 3D Object Detection (CVPR 2020)
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chainer-graph-cnnChainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)
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BtcDetBehind the Curtain: Learning Occluded Shapes for 3D Object Detection
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rocganChainer implementation of the paper Robust Conditional Generative Adversarial Networks
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graph-nvpGraphNVP: An Invertible Flow Model for Generating Molecular Graphs
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kitti deeplabInference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.
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chainer-ADDAAdversarial Discriminative Domain Adaptation in Chainer
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efficient online learningEfficient Online Transfer Learning for 3D Object Detection in Autonomous Driving
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Waymo Kitti AdapterA tool converting Waymo dataset format to Kitti dataset format.
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Multi-task-Conditional-Attention-NetworksA prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.
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efficient softmaxBlackOut and Adaptive Softmax for language models by Chainer
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chainer-ResDropDeep Networks with Stochastic Depth implementation by Chainer
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lda2vecMixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019
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Python-for-Remote-Sensingpython codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
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chainer-fcis[This project has moved to ChainerCV] Chainer Implementation of Fully Convolutional Instance-aware Semantic Segmentation
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SASensorProcessingROS node to create pointcloud out of stereo images from the KITTI Vision Benchmark Suite
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pole-localizationOnline Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments
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LiDAR-GTA-VA plugin for Grand Theft Auto V that generates a labeled LiDAR point cloud from the game environment.
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M3DETRCode base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
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WS3DOfficial version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
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chainer-Fast-WaveNetA Chainer implementation of Fast WaveNet(mel-spectrogram vocoder).
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BMI219-2017-ProteinFoldingUCSF BMI219 Deep Learning (2017), Coding example (Prediction of protein folding with RNN and CNN)
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book-ml書籍「今すぐ試したい!機械学習・深層学習(ディープラーニング)画像認識プログラミングレシピ」のソースコードを配布するレポジトリです。
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3d-detection-papersThe papers in this list are about 3d detection, especially those using point clouds.
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convolutional seq2seqfairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer
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KittiVizData visualizer for Kitti dataset.
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deep-INFOMAXChainer implementation of deep-INFOMAX
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ikd-TreeThis repository provides implementation of an incremental k-d tree for robotic applications.
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lidar-busterCollection of Python snippets for processing LiDAR point cloud.
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