yueyedeai Goto Github PK

logistic-mf

Logistic Matrix Factorization for Implicit Feedback Data. http://stanford.edu/~rezab/nips2014workshop/submits/logmat.pdf

logkafka

Collect logs and send lines to Apache Kafka

loopy

A code generator for array-based code on CPUs and GPUs

loss_toolbox-pytorch

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

low-light-image-enhancement-resources

This is a resouce list for low light image enhancement

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

lstm-siamese-text-similarity

⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

lstm_learn

a implement of LSTM using Keras for time series prediction regression problem

ltp

Language Technology Platform

luceneplusplus

Lucene++ is an up to date C++ port of the popular Java Lucene library, a high-performance, full-featured text search engine.

m2cgen

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

macbert

Revisiting Pre-trained Models for Chinese Natural Language Processing (Findings of EMNLP)

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-for-asset-managers

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

machine-learning-for-software-engineers

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

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

周志华《机器学习》手推笔记

machine_learning

Basic Machine Learning Introductory Documents

machine_learning_beginner

机器学习初学者公众号作品

machine_learning_examples

A collection of machine learning examples and tutorials.

machine_learning_tutorials

Code, exercises and tutorials of my personal blog ! 📝

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

machinelearningnote

machinelearningstocks

Using python and scikit-learn to make stock predictions

macos-virtualbox

Push-button installer of macOS Catalina, Mojave, and High Sierra guests in Virtualbox for Windows, Linux, and macOS

macos-virtualbox-vm

Instructions and script to help you create a VirtualBox VM running macOS.

magenta

Magenta: Music and Art Generation with Machine Intelligence

makeup

让你的“女神”逆袭，代码撸彩妆（画妆）

makeupembeddinggan-tf-implement

mall

mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于SpringBoot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。