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libfrangi

C++/OpenCV implementation of the 2D Frangi multiscale vesselness filter.

libimagequant

Palette quantization library that powers pngquant and other PNG optimizers

libnabo

A fast K Nearest Neighbor library for low-dimensional spaces

libpku

贵校课程资料民间整理

light-reid

[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lightweight-segmentation

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

lihang-code

《统计学习方法》的代码实现

lite-transformer

[ICLR 2020] Lite Transformer with Long-Short Range Attention

lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv6, YOLOR, MODNet, YOLOX, YOLOv7, YOLOX. MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

litehrnet

Lite-HRNet: A Lightweight High-Resolution Network

literature

loss-aware-binarization

Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"

loss-aware-weight-quantization

Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"

lpn-pytorch

lq-nets

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

lshort-new-zh-cn

New and frequently-updated version of `lshort' document

m2det

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

macaron-net

Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View"

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

machine-learning-code-writing

Mathematical derivation and pure Python code implementation of machine learning algorithms.

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machine-learning-in-action-python3

《机器学习实战》python3源码

machinelearning

Machine learning resources

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

marburg

physics meets neural networks

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

markdown_documentation_chinese

A Chinese markdown documentation to document markdown syntax.