asya-brownie Goto Github PK
Name: Ana_prokaeva
Type: User
Bio: Data Scientist in a FinTech start-up currently working with Time Series, Satellite imageries for Macro Financial data. Python, sklearn, pandas, Keras, Spark.
Location: Paris
Name: Ana_prokaeva
Type: User
Bio: Data Scientist in a FinTech start-up currently working with Time Series, Satellite imageries for Macro Financial data. Python, sklearn, pandas, Keras, Spark.
Location: Paris
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Google Colaboratory Notebooks and Repositories (by @firmai)
A collection of resources for pandas (Python) and related subjects.
Cheat Sheets
Try out deep learning models online on Google Colab
A robot powered training repository :robot:
Google IT Automation with Python Professional Certificate - Practice files
R package for Dynamic Factor Models with mixed frequencies and unbalanced panel :chart_with_downwards_trend:
WQU provides free courses. These are projects that I have been working on during Unit1 & Unit2.
The "Python Machine Learning (2nd edition)" book code repository and info resource
The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
Tutorial Sessions for SciPy Con 2019
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
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.