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ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2020

analytics-zoo

Distributed Tensorflow, Keras and BigDL on Apache Spark

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

article-matrix-profile-intro

This is a supporting repository for the journal article https://towardsdatascience.com/introduction-to-matrix-profiles-5568f3375d90.

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

basic-rotating-machine-vibration-analysis

These codes realize data transformation and simple data processing for fault diagnosis.

bhtsne

Barnes-Hut t-SNE

code

d2l-en

An interactive deep learning book with code, math, and discussions, based on the NumPy interface.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

dash-predictive-maintenance

Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.

dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

deep-learning-for-time-series-data

The examples showcase two ways of using deep learning for classifying time-series data, i.e. ECG data. The first way is using continuous wavelet transform and transfer learning, whereas the second way is using Wavelet Scattering and LSTMs. The explanations of the code are in Chinese. The used data set can be download on：https://github.com/mathworks/physionet_ECG_data/

deep-visualization-toolbox

DeepVis Toolbox

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

design-motor-controllers-with-simscape-electrical

This repository contains MATLAB and Simulink files used in the "How to design motor controllers using Simscape Electrical" videos.

dive-into-dl-pytorch

Dive into Deep Learning (动手学深度学习) with PyTorch.

fastai

The fastai deep learning library

fastapi-ml-skeleton

FastAPI Skeleton App to serve machine learning models production-ready.

fastbook

The fastai book, published as Jupyter Notebooks

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

gpt-rag

Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

hsuantienlin_machinelearning

ipv6-hosts

learn2learn

PyTorch Meta-learning Framework for Researchers

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

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.