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collector-m's Projects

lol icon lol

LOL: Lidar-only Odometry and Localization in 3D point cloud maps

lorax icon lorax

CVPR Paper - "3D Point Cloud Registration for Localization using a Deep Neural Network Auto-Encoder" - Partial Implementation Code

loverecord icon loverecord

Recoding how much time we together and the store about us. 记录我们在一起的岁月。

lpd-net icon lpd-net

LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis, ICCV 2019, Seoul, Korea

lsgan icon lsgan

This is the project for LS-GAN (Loss-Sensitive GAN)

lshash icon lshash

A fast Python implementation of locality sensitive hashing.

ltmu icon ltmu

CVPR2020 Oral && Best Paper Nomination

luminoth icon luminoth

Deep Learning toolkit for Computer Vision

lvi-sam icon lvi-sam

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

lwmv3d icon lwmv3d

Light-Weight Multi-View 3D Object Detection using LIDAR and RGB

lwoi icon lwoi

Python code of the paper "Learning Wheel Odometry and IMU Errors for Localization"

lz4 icon lz4

Extremely Fast Compression algorithm

m2cgen icon m2cgen

Transform ML models into a native code (Java, C, Python, etc.) with zero dependencies

m2det icon m2det

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

m3detr icon m3detr

Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

m3rl icon m3rl

Mind-aware Multi-agent Management Reinforcement Learning

machine-learning-learning-notes icon machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!

machine-learning-notes icon machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接

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