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interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。

kapre

kapre: Keras Audio Preprocessors

keras-autoencoder

Collection of autoencoders written in Keras

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-tcn

Keras Temporal Convolutional Network.

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

keras_deeplearning_example

largescaleevolution

Large scale evolution for optimization

leetcode

LeetCode刷题源码(Contest分支含历次周赛代码及题解)

lstm-keras-cmapss

Using LSTM to predict Remaining Useful Life of CMAPSS Dataset

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接

machine-learning-session

mc_dcnn

Multi channel deep convolutional neural network for time series classification

mcd_da

mechanical-fault-diagnosis-based-on-deep-learning

CNN for mechanical fault diagnosis

mganet-dcc2020

PyTorch implementation of "MGANet & DCC2020 paper"

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

ml_notes

机器学习算法的公式推导以及numpy实现

mlnd

Udacity Machine Learning Nano Degree Courses

mrfn

The source code is for the paper which has been published on IEEE SPL.

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

neural-style

Torch implementation of neural style algorithm

nn-compression

nn_test

This project contains some neural network code

numpy-ml

Machine learning, in numpy

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms.

objection-detection-bible

papers

parametric-t-sne

Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.