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A list of (mostly free) ressources to learn Artificial Intelligence and Machine Learning.
AI_Project 2021/2022 Andy Smet and Kristof Egghe Embarrassingly Shallow Autoencoders using the comics subset of the Goodreads dataset
This is Andrew NG Coursera Handwritten Notes.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
A curated list of awesome algorithmic trading frameworks, libraries, software and resources
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Chemical Process Control
Solutions to all quiz and all the programming assignments!!!
For Coursera Test
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Algorithmic trading with deep learning experiments
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
A tutorial demonstrating how to implement deep learning models for time series forecasting
In this repo we will show how to build a simple but useful Digital Twin using python. Our asset will be a Li-ion battery. This Digital Twin will allow us to model and predict batteries behavior and can be included in any virtual asset management process.
Digital twin for structural dynamics applications
This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
Hands-On Machine Learning for Algorithmic Trading, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Jupyter notebooks for the Julia Scientific Programming course on Coursera
Julia Tutorial for Finance and Econometrics Students
Learn Algorithmic Trading, Published by Packt
LSTM model for Nifty - trained and tested from last 15 years (with all technical indicators and other key parameters)
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.