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Type: Organization
Type: Organization
A PyTorch implementation of the Transformer model in "Attention is All You Need".
List of awesome resources for machine learning-based algorithmic trading
đ A ranked list of awesome machine learning Python libraries. Updated weekly.
Stanford CS234: Reinforcement Learning Winter 2020
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Learning - Papers and articles
generic project files
Books
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Self-Taught Data Science
Code for Machine Learning for Algorithmic Trading, 2nd edition.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Flexible, user-friendly Hidden (Semi) Markov Models for animal movement data (Langrock et al. 2012). This package was developed in part for van de Kirk (2013; http://onlinelibrary.wiley.com/doi/10.1111/1365-2656.12290/full). Since I wrote this package, Theo Michelot, Roland Langrock and others have written a better package for fitting HMMs to animal movement data, named moveHMM (sorry for the confusion!). To my knowlege, though, this package is the only one that fits hidden semi-Markov models.
The msm R package for continuous-time multi-state modelling of panel data
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Resources to learn more about Machine Learning and Artificial Intelligence
paper note, including personal comments, introduction, code etc
Curated repository of notes from papers I'm reading, mostly NLP related. Updated regularly.
My Quant Research Papers (incl. Coding & Excel Examples)
My Own Solution Manual of PRML
Deep Learning (with PyTorch)
A Collection of Variational Autoencoders (VAE) in PyTorch.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
đšī¸ CS234: Reinforcement Learning, Winter 2019 | YouTube videos đ
Quantitative research and educational materials
Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)
R package for thematic maps
A declarative, efficient, and flexible JavaScript library for building user interfaces.
đ 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. đđđ
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 â¤ī¸ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.