bailianfa,github

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-retinanet-for-open-images-challenge-2018

Code for 15th place in Kaggle Google AI Open Images - Object Detection Track

lacnn

Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification

latticelstm

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

learnpaddle

PaddlePaddle V2版本系列教程，CSDN博客专栏：https://blog.csdn.net/qq_33200967/column/info/28499

learntools

Tools and tests used in Kaggle Learn exercises

lexuebao-odoo-wechat

《Odoo从入门到实战：Python开发ERP指南》实战项目的小程序端，后台使用Odoo

lgb_predict_example

A example of prediction task using lightGBM and Xgboost

lic2019-dureader2.0-rank2

Rank2 solution (no-BERT) for 2019 Language and Intelligence Challenge - DuReader2.0 Machine Reading Comprehension.

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.

lightgbm-binary-classification-example

A model that predicts the default rate of credit card holders using the LightGBM classifier. Trained the LightGBM classifier with Scikit-learn's GridSearchCV.

lightgbm-doc-zh

LightGBM 中文文档

lightgbm-gbdt-lr

a python code of applying GBDT+LR for CTR prediction

lightgbm.jl

LightGBM.jl provides a high-performance Julia interface for Microsoft's LightGBM.

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

lihang-code

《统计学习方法》的代码实现

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

loan_default_prediction

This is the Python Code for the submission to Kaggle's Loan Default Prediction by the ID "HelloWorld"

lookahead_pytorch

pytorch implement of Lookahead Optimizer

lstm

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

lstm-crf-pytorch

LSTM-CRF in PyTorch

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lstmvis

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

machine-comprehension

MACHINE READING COMPREHENSION WITH SELF-MATCHING NETWORKS

machine-learning-with-go

Machine Learning With Go, published by Packt

machinelearning

ML.NET is an open source and cross-platform machine learning framework for .NET.

mastering-bootstrap-4

Mastering Bootstrap 4 published by Packt

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