huvers / reservoir_computing
A reservoir computing implementation in Mathematica for financial time series prediction.
☆11Updated 9 years ago
Alternatives and similar repositories for reservoir_computing:
Users that are interested in reservoir_computing are comparing it to the libraries listed below
- tabular q learning for trading☆11Updated 6 years ago
- An attempt to reimplement the 2013 paper by Wissner-Gross & Freer☆10Updated last month
- Capstone Project for the Machine Learning Nanodegree. Used Deep Q Learning to create an agent that trade stocks.☆15Updated 8 years ago
- Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.☆70Updated 3 years ago
- A library for stock market analysis and automated trading, powered by sklearn.☆41Updated 9 years ago
- A simulation environment for the creation and observation of ML models based on PyTorch☆9Updated 5 years ago
- Using Q-learning to better navigate orderbooks.☆21Updated 6 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 5 years ago
- A forest that is fast☆41Updated 5 years ago
- ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING☆15Updated 6 years ago
- Recurrent Discounted Attention unit (RDA) for Tensorflow☆22Updated 6 years ago
- Convenient hyperparameter optimization☆14Updated 9 months ago
- Nengo library of additional extensions☆29Updated last year
- Topological Data Analysis of a Financial Time Series for insights from Landscapes for detecting Financial Crashes☆10Updated 6 years ago
- Genetic Algorithm in Python, which could be used for Sampling, Feature Select, Model Select, etc in Machine Learning☆15Updated 5 years ago
- McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.☆13Updated 2 years ago
- Pricing derivatives using the explicit finite-difference method☆13Updated 8 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Uses Hierarchical Temporal Memory to predict the price of RLG based on historical data☆11Updated 9 years ago
- Conditional Associative Logic Memory☆27Updated 7 years ago
- Information geometry and its extension information topology☆10Updated 7 years ago
- AI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)☆33Updated 3 years ago
- Experiments with beta-VAE to learn disentangled representations from the data☆65Updated 5 years ago
- Averaged Stochastic Gradient Descent Classifiers☆41Updated 12 years ago
- Code for the paper Recurrent Machines for Likelihood-Free Inference☆15Updated 5 years ago
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆51Updated 6 years ago
- Machine Learning examples adapted from Hastie, Tibshirani, and Friedman book☆9Updated 7 years ago
- Deep learning in large multivariate time series using real-time feature extraction with MDFA☆12Updated 6 years ago
- Recursive Self-Organizing Map/Neural Gas.☆52Updated 2 years ago