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Name: Mahdi Akraminia
Type: User
Name: Mahdi Akraminia
Type: User
Anomaly detection related books, papers, videos, and toolboxes
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
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Unifying Generative Autoencoder implementations in Python
CNNpred: CNN-based stock market prediction using a diverse set of variables
A python library for easy manipulation and forecasting of time series.
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Hands-on Deep Reinforcement Learning, published by Packt
Deep Learning for Time Series Classification
Using DQN/DDPG for stock trading. Xiong, Z., Liu, X.Y., Zhong, S., Yang, H. and Walid, A., 2018. Practical deep reinforcement learning approach for stock trading, NeurIPS 2018 AI in Finance Workshop.
Probabilistic time series modeling in Python
Hierarchical 👑 forecasting with statistical and econometric methods.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Deep Learning for humans
Keras Model Zoo
Anomaly Detection and Correlation library
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
A collection of machine learning examples and tutorials.
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
Mastering Transformers, published by Packt
Discover pretrained models for deep learning in MATLAB
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.
📺 A place to discover the latest machine learning courses on YouTube.
Models and examples built with TensorFlow
Publication-ready NN-architecture schematics.
Numerical methods implementation in Python 3.
Visualize large time-series data in plotly
Probabilistic Machine Learning: Advanced Topics
Fast, flexible and easy to use probabilistic modelling in Python.
Python implementation of Empirical Mode Decompoisition (EMD) method
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.