Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
AI applied to a specific vertical: healthcare, finance, legal, science, education and more.
Signals: healthcare, medical, bioinformatics, finance, quantitative-finance, trading, legal, education
551 results
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
HyperView is a terminal-first TradingView strategy lab for downloading market data, backtesting Python strategies with Pine-like behavior, and optimizing SL/TP parameters.
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)
Hands-On Machine Learning for Algorithmic Trading, published by Packt
Versatile computational pipeline for processing protein structure data for deep learning applications.
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
DANCE: a deep learning library and benchmark platform for single-cell analysis
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
Implementation of the paper "Deep Learning-Based Channel Estimation"
Crop Yield Prediction with Deep Learning
Deep Learning Statistical Arbitrage
This code is for the book
Examples of using deep learning in Bioinformatics
No description
I am Duncan, a cofounder at Rose City Robotics. This public repository is used as an easy to update list of resources for AI developers including technical courses, books, and tutorials on artificial intelligence, deep learning and machine learning. PRs welcome!
Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Algorithmic trading with deep learning experiments
No description
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.
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.
24,544 repositories in the index in total.
