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weisongwen
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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Minimal examples of data structures and algorithms in Python
Python sample codes for robotics algorithms.
Minimal and clean examples of machine learning algorithms implementations
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
A Python implementation of global optimization with gaussian processes.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
dataset and code for 2016 paper "Learning a Driving Simulator"
Python package for the evaluation of odometry and SLAM
Semantic Segmentation Architectures Implemented in PyTorch
Deep Hough Voting for 3D Object Detection in Point Clouds
Python implementation of a bunch of multi-robot path-planning algorithms.
CUP, common useful python-lib. (Currently, Most popular python lib in baidu). Python 开发底层库, 涵盖util、service(threadpool/generator/executor/cache等等)、logging、monitoring、增强型配置 等等库支持
This is an unofficial inplementation of VoxelNet in TensorFlow.
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]
UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes
LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
This is a ros package that implement the SqueezeSeg
My collection of implementations of adaptive filters.