262 Open source projects that are alternatives of or similar to Fixedeffectmodels.jl

Applied Econometrics Library for Python

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Journal-style regression tables

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Tribuo - A Java machine learning library

Research by Carlos Góes

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset

PHP-ML - Machine Learning library for PHP

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A collection of tools for chemometrics and machine learning written in Julia.

GPstuff - Gaussian process models for Bayesian analysis

一些常用的机器学习算法实现

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Code for Tensorflow Machine Learning Cookbook

A curated collection of links for economists

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

MLBox is a powerful Automated Machine Learning python library.

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/

Tools for developing linear regression models

Test/benchmark regression and comparison system with dashboard

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

A high-level machine learning and deep learning library for the PHP language.

Yet another neural network library

Diagnostics for HierArchical Regession Models

An Interactive Approach to Understanding Deep Learning with Keras

Conversion of R Regression Output to LaTeX or HTML Tables

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Artificial Neural Networks for Scala

Shiny dashboard for Land Use Regression modelling

《深度学习与计算机视觉》配套代码

Quickly assemble data from the Panel Study of Income Dynamics (PSID)

Regression range finder for Mozilla nightly builds

🎓 Tidy regression tools for academics

R package to interface with OpenML

📚 Books everyone should read!

GCAM -- The Global Change Analysis Model

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

Python3 project applying Gaussian process regression for forecasting stock trends

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

Machine Learning in R

Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.

Statistical Machine Intelligence & Learning Engine

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

Julia package of loss functions for machine learning.

A Python library for time series forecasting

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Measure and visualize machine learning model performance without the usual boilerplate.

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法