dbjohnson / numerai
model for prediction challenge at http://numer.ai
☆42Updated 8 years ago
Alternatives and similar repositories for numerai:
Users that are interested in numerai are comparing it to the libraries listed below
- Data workflows for the numer.ai machine learning competition☆47Updated 5 years ago
- Validation and prediction code for numer.ai☆150Updated 7 years ago
- automatically download and upload data for the numer.ai machine learning competition☆70Updated 7 years ago
- SigOpt wrappers for scikit-learn methods☆75Updated last year
- ☆52Updated 8 years ago
- Fork of Barnes-Hut t-SNE with improved performance and OpenMP parallelization☆17Updated 8 years ago
- ☆11Updated 9 years ago
- ☆113Updated 4 years ago
- Estimating stock price correlations using Wikipedia☆25Updated 8 years ago
- Simple Python interface for the SigOpt API☆70Updated 3 weeks ago
- Efficient distributed hyperparameter search library written in Python.☆75Updated 6 years ago
- ☆25Updated 9 years ago
- Code from my experiments on Numerai☆286Updated 6 years ago
- Data Science in 30 minutes with Jess from Quantopian☆39Updated 8 years ago
- A library for stock market analysis and automated trading, powered by sklearn.☆41Updated 9 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 8 years ago
- Computational Finance related Python Code☆28Updated 9 years ago
- ☆53Updated 12 years ago
- Personal blog raw files.☆22Updated last year
- Kaggle competition results☆20Updated 6 years ago
- A Python framework for R&D of financial investment strategies, and trading them algorithmiclly via Quantopian.com☆51Updated 10 years ago
- 📈 Stock embeddings based on PE context☆74Updated 7 years ago
- A Tour of Time Series Analysis☆23Updated 8 years ago
- Some experiments into explaining complex black box ensemble predictions.☆75Updated 5 years ago
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆75Updated 8 years ago
- A global, black box optimization engine for real world metric optimization.☆66Updated 10 years ago
- Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.☆69Updated 10 years ago
- Retrieving of financial metrics of various stocks using python☆28Updated 8 years ago
- Scikit learn inspired library for gpu-accelerated machine learning☆38Updated 2 years ago
- the 2nd place solution for West Nile Virus Prediction challenge on Kaggle☆36Updated 9 years ago