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labelbee

LabelBee is an annotation Library

laclip

Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"

lagcn

landmark

lang-seg

Language-Driven Semantic Segmentation

langchainzh

langchain中文网是langchain的中文文档

languagegroundedsemseg

Implementation for ECCV 2022 paper Language-Grounded Indoor 3D Semantic Segmentation in the Wild

lasermix

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

ldcnet

Learnable Descriptive Convolutional Network for Face Anti-Spoofing (BMVC'22)

leaflet-geoman

🍂🗺️ The most powerful leaflet plugin for drawing and editing geometry layers

learnableearthparser

Official Pytorch implementation of the "Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans" paper

learned-triangulation

Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020

learning3d

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

learning_minimal

Learning to Solve Hard Minimal Problems

leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

lenet

LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution Attention

lerf

Code for LERF: Language Embedded Radiance Fields

lesps

Repository for "Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision", CVPR, 2023

libadmm-toolbox

A Library of ADMM for Sparse and Low-rank Optimization

lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

lidar-mos

(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)

lidarclip

Bridging lidar and text through image intermediaries

lidarseg3d

A generic repository for LiDAR 3D semantic segmentation in autonomous driving scenarios. Also the official implementations of our ECCV 2022 paper (SDSeg3D) and CVPR 2023 paper (MSeg3D).

lightglue

LightGlue: Local Feature Matching at Light Speed

lightly

A python library for self-supervised learning on images.

lio-sam

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

lion

Latent Point Diffusion Models for 3D Shape Generation

lite-mono

[CVPR2023] Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation

litv2

This is the official PyTorch implementation of "Fast Vision Transformers with HiLo Attention"