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machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

matplotlib-cheatsheet

Matplotlib 3.1 cheat sheet. From an upcoming book on matplotlib.

mit18.065-subtitles

MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning

mix-unmix

ml-notes

notes about machine learning

ml-scl

Multi Label Supervised Contrastive Learning

multilabelclassification

Semantic Consistency driven Contrastive Multi Label Image Classification

neural-disaggregator

Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.

neuralnilm

Deep Neural Networks Applied to Energy Disaggregation

neuralnilm-pytorch

Non-Intrusive Appliance Load Monitoring (NILM) based on Convolutional Neural Networks for PyTorch

neuralnilm_prototype

neuralnilm_pytorch

nilm

Code for our MPS 2019 paper entitled "A Machine Learning Approach for NILM based on Odd Harmonic Current Vectors"

nilm-papers-with-code

An archive for NILM papers with source code and other supplemental material

nilm-transferability-metrics

Metrics to assess the generalisation ability of NILM algorithms

nilmtk

Non-Intrusive Load Monitoring Toolkit (nilmtk)

nilmtk-contrib

nlp-beginner

NLP上手教程

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nnilm

A reimplementation of Jack Kelly's rectangles neural network architecture based on Keras and the NILMToolkit.

ntu_ml2017_hung-yi-lee_hw

NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业

numpy-100

100 numpy exercises (with solutions)

numpy-ml

Machine learning, in numpy

prml_ucas

国科大研一课程 模式识别与机器学习

pruned-nilm

This repo provides four weight pruning algorithms for use in sequence-to-point energy disaggregation as well as three alternative network architectures.

pt.darts

PyTorch Implementation of DARTS: Differentiable Architecture Search

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pwc

Papers with code. Sorted by stars. Updated weekly.

pwws

Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency