dopamine-lab / godlikeLinks
PHP debug tool for controlling time and randomness while testing. Predictability is all.
☆13Updated 5 years ago
Alternatives and similar repositories for godlike
Users that are interested in godlike are comparing it to the libraries listed below
Sorting:
- The main aim of this project is to tell that the certain project will be successful or it will fail by applying machine learning algorith…☆12Updated 4 years ago
- Minimal Learning Machine implementation using the scikit-learn API.☆10Updated 2 years ago
- R Code to accompany "A Note on Efficient Fitting of Stochastic Volatility Models"☆13Updated 3 years ago
- an R package for testing, estimating and evaluating the Panel Smooth Transition Regression (PSTR) model.☆22Updated 6 months ago
- The most basic data set available to practice the concepts of regression analysis and explore the most basic concepts of machine learning☆11Updated 6 years ago
- Random Forest Library In Python Compatible with Scikit-Learn☆14Updated 4 years ago
- Deep Learning using Tensorflow for the "House Prices: Advanced Regression Techniques" Kaggle competition.☆12Updated 6 years ago
- {PySpark, R, Python}: Several Data Science projects☆16Updated 7 years ago
- R-like formula approach to Spark Dataframes☆10Updated 5 years ago
- timeseries prediction using dynamic linear models and LSTM☆13Updated 8 years ago
- A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.☆57Updated last year
- Slides, material and solutions of the popular Statistical Learning course from Stanford's own Hastie & Tibshirani. Join me on my journey …☆15Updated 7 years ago
- Repository containing notebooks for my Pandas tutorial at SciPy India 2013☆15Updated 6 years ago
- Predicting Quality of Red Wine using Machine Learning☆17Updated 7 years ago
- Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …☆35Updated 6 years ago
- Notebooks of Python and R code which illustrates basic causal inference using simulated data☆23Updated 6 years ago
- Machine Learning course at Linköping University for Industry☆20Updated 6 years ago
- Notes and simulations on graduate level causal inference in statistics with applications to social sciences.☆23Updated 6 years ago
- Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…☆13Updated 5 years ago
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆46Updated 5 years ago
- Hypothesis testing (Parametric/Non-Parametric)☆11Updated 6 years ago
- State Space Estimation of Time Series Models in Python: Statsmodels☆44Updated 8 years ago
- Discussion for Stan for economists☆10Updated 9 years ago
- BASM - 2017 Spring☆26Updated 7 years ago
- Markov Switching Models for Statsmodels☆24Updated 9 years ago
- Code to implement transfer entropy (Shannon and Renyi)☆24Updated 2 years ago
- ECON457 2018 Applied Computational Economics and Finance☆27Updated 8 years ago
- Socio-economic network and hypergraph statistics in R☆13Updated 7 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆26Updated 6 years ago
- ☆16Updated last month