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gpu_mon

Python script which monitors gpu accessgpu_mon定期检查GPU，如果没有人使用它，它将运行您在config文件中指定的程序.中文说明:

gradient-checkpointing

Make huge neural nets fit in memory节省内存，而计算力增加不大

group-normalization-tensorflow

A TensorFlow implementation of Group Normalization on the task of image classification

hello_world

My first repository.

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python贝叶斯调参python库（简单）

imagepy

Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.正负样本不均衡问题相关框架.以下网站有教程及详细说明:

imgaug

Image augmentation for machine learning experiments.

insightface

Face Recognition Project on MXNet

interview-notebook

:books: 技术面试需要掌握的基础知识整理

java-interview

Java 面试必会 直通BAT

javacnn

A Java implement of Convolutional Neural Network.

jdata

京东JData算法大赛-高潜用户购买意向预测入门程序(starter code)

jupyter-themes

Custom Jupyter Notebook Themes

kaggle

keras-gan

Keras implementations of Generative Adversarial Networks.

keras_ensemblng

Ensembling ConvNets using Keras

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images做图片标注的工具When creating annotations, if you don’t want to write your own conversion script, make sure they are exported as PASCAL VOC format. This is the format I and many others use, so you can just “steal” my script above (which was “stolen” from someone else).

leetcode

LeetCode题解，151道题完整版

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.

machine-learning-notes

This contains my past machine learning notes

machine_learning_zoubo

代码及pdf

machinelearninginaction3x

Source Code for Machine Learning in Action for Python 3.X

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow代码与教程

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn#机器之心

models

Models and examples built with TensorFlow(capsnet核心代码应该在capsule_model.py和layers.py)

moeditor

Your all-purpose markdown editor.

monodepth_chainer

Unsupervised Monocular Depth Estimation with Left-Right Consistency by chainer