qwzhong1988 Goto Github PK

knowledgegraph

史上最大规模1.4亿知识图谱数据免费下载，知识图谱，通用知识图谱，融合了两千五百多万的实体，拥有亿级别的实体属性关系。

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

labelme

Image Polygonal Annotation with Python.

lagrangianrelaxationqip

Lagrangian Relaxation approach solve QIP

latticelstm

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

layer

tensorflow custom comfort wrapper

lcms

Landscape Change Monitoring System

learning-tensorflow

Using tensorflow to implement different deep learning model

learning-to-communicate-pytorch

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

learning_to_rank

利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and prediction, etc.

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.

lightgcn-pytorch

The PyTorch implementation of LightGCN

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

lssvm

Python implementation of Least Squares Support Vector Machine for classification on CPU (NumPy) and GPU (PyTorch).

lstm_ctc_ocr

Use CTC + tensorflow to OCR

lstm_learn

learn how to create lstm recognize through Tensorflow

m5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

mab

machine-learning

machine-learning-notes

周志华《机器学习》手推笔记

machine_learning

机器学习算法的实现和应用

machinelearning

一些关于机器学习的学习资料与研究介绍

machinelearning-1

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

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

mail

maml

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

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

manutdzou.github.io

mask-rcnn-training

Hackathon training for Mask R-CNN for table detection

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow