RnRi's repositories
a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
awesome-lidar
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
Awesome-LiDAR-Camera-Calibration
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
BiSeNet
Add bisenetv2. My implementation of BiSeNet
CSPN
Convolutional Spatial Propagation Network
Cylinder3D
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (Nov. 2020) :fire::fire:
Deep-Learning-Experiments
Notes and experiments to understand deep learning concepts
Det3D
A general 3D object detection codebse.
kitti_object_vis
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
leetcode-python
Leetcode Python Solution and Explanation. Also a Guide to Prepare for Software Engineer Interview.
lift-splat-shoot
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)
MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
ML-From-Scratch
Some Machine Learning algorithms implemented by me, mostly from scratch
PCDet
PCDet Toolbox in PyTorch for 3D Object Detection from Point Cloud
PointPillars
A Simple PointPillars PyTorch Implenmentation for 3D Lidar(KITTI) Detection.
pytorch-unet
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
ros_numpy
Tools for converting ROS messages to and from numpy arrays
Self-Guided-Network-for-Fast-Image-Denoising
The PyTorch implementation of SGN (ICCV 2019), modified from https://github.com/zhaoyuzhi/Self-Guided-Network-for-Fast-Image-Denoising
semantic-kitti-api
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
semantic_kitti_stats
:chart_with_downwards_trend: Get some nice plots with statistics about the Semantic KITTI dataset
SparseConvNet
Submanifold sparse convolutional networks
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Tools_RosBag2KITTI
Conversion from ROSBAG (.bag) to image (.png) and points cloud (.bin), including ROSBAG decoding, pcd2bin and file directory extraction.
torch-points3d
Pytorch framework for doing deep learning on point clouds.
YOLOv3-Calculate-Anchor-Boxes
This script performs K-means Clustering on the Berkeley Deep Drive dataset to find the appropriate anchor boxes for YOLOv3. Originally it has 9 anchor boxes and image size is 608x608. For any issues pleas let me know
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite