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industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

iot-predictive-maintenance

EDGE2AI workshop featuring CDF and CDSW

iot_predictive_maintenance_demo

lightgcn-pytorch

The PyTorch implementation of LightGCN

luminol

Anomaly Detection and Correlation library

matlab-python-pictures

Some code for images processing!

matlab_deep_learning

《Matlab计算机视觉与深度学习实战》代码

medical-image-registration

a project for developing registration tools with convolutional neural networks

medium_notebook

Repository containing notebooks of my posts on Medium

mixup_for_uda

Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).

ml-ai-experiments

All my experiments with AI and ML

ml4f

Using transformer models to do multi-step equity time series prediction.

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证有效的领先模型）

mqrnn

Multi-Quantile Recurrent Neural Network for Quantile Regression

ms-da-mil-cnn

Multi-scale Domain-adversarial Multiple Instance Learning CNN (CVPR2020)

mtad-gat-pytorch

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

mulann

Code and data of the "Multi-domain adversarial learning" paper, Schoenauer-Sebag et al., accepted at ICLR 2019

multidimensional-time-series-with-transformer

transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测

non-ar-spatial-temporal-transformer

Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.

ntu-machine-learning

**大学李宏毅老师机器学习

object-detect

专注于计算机视觉，目标检测方面的论文代码收集与复现

paper-reading

深度学习经典、新论文逐段精读

pretrained-models

pycv

Website of the book "Learn OpenCV 3 with Python"

pyod

(JMLR' 19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

pytorch_dgcnn

PyTorch implementation of DGCNN

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

remaining-useful-life-prediction-for-turbofan-engines

RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN

rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

rotating-machine-fault-data-set

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)