All Projects → Robyn → Similar Projects or Alternatives

158 Open source projects that are alternatives of or similar to Robyn

keras-hypetune
A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.
Stars: ✭ 47 (-89.15%)
maggy
Distribution transparent Machine Learning experiments on Apache Spark
Stars: ✭ 83 (-80.83%)
Econ-Data-Science
Articles/ Journals and Videos related to Economics📈 and Data Science 📊
Stars: ✭ 102 (-76.44%)
Mutual labels:  econometrics
mltb
Machine Learning Tool Box
Stars: ✭ 25 (-94.23%)
cli
Polyaxon Core Client & CLI to streamline MLOps
Stars: ✭ 18 (-95.84%)
miraiml
MiraiML: asynchronous, autonomous and continuous Machine Learning in Python
Stars: ✭ 23 (-94.69%)
ProxGradPytorch
PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).
Stars: ✭ 28 (-93.53%)
ridge
CRAN R Package: Ridge Regression with automatic selection of the penalty parameter
Stars: ✭ 17 (-96.07%)
Mutual labels:  ridge-regression
Diebold-Mariano-Test
This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).
Stars: ✭ 70 (-83.83%)
Mutual labels:  econometrics
autotune
Autonomous Performance Tuning for Kubernetes !
Stars: ✭ 84 (-80.6%)
Computational-Economics
Algorithmic game theory, recursive macroeconomics, machine learning for econometrics
Stars: ✭ 35 (-91.92%)
Mutual labels:  econometrics
eva
A simple Java OOP evolutionary algorithm framework.
Stars: ✭ 18 (-95.84%)
Mutual labels:  evolutionary-algorithm
econ5170
Econ5170@CUHK: Computational Methods in Economics (2020 Spring).
Stars: ✭ 127 (-70.67%)
Mutual labels:  econometrics
machine-learning
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…
Stars: ✭ 91 (-78.98%)
Mutual labels:  ridge-regression
Hyperopt.jl
Hyperparameter optimization in Julia.
Stars: ✭ 144 (-66.74%)
textlearnR
A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.
Stars: ✭ 16 (-96.3%)
doubleml-for-r
DoubleML - Double Machine Learning in R
Stars: ✭ 58 (-86.61%)
Mutual labels:  econometrics
ose-course-data-science
course on data science for economists
Stars: ✭ 81 (-81.29%)
Mutual labels:  econometrics
ScPoEconometrics
Undergraduate textbook for Econometrics with R
Stars: ✭ 100 (-76.91%)
Mutual labels:  econometrics
differential-privacy-bayesian-optimization
This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"
Stars: ✭ 22 (-94.92%)
doubleml-for-py
DoubleML - Double Machine Learning in Python
Stars: ✭ 129 (-70.21%)
Mutual labels:  econometrics
bbai
Set model hyperparameters using deterministic, exact algorithms.
Stars: ✭ 19 (-95.61%)
syne-tune
Large scale and asynchronous Hyperparameter Optimization at your fingertip.
Stars: ✭ 105 (-75.75%)
causeinfer
Machine learning based causal inference/uplift in Python
Stars: ✭ 45 (-89.61%)
Mutual labels:  econometrics
econowcast
Experimental tools (R) for Big Data econometrics nowcasting and early estimates
Stars: ✭ 26 (-94%)
Mutual labels:  econometrics
bacondecomp
Bacon-Goodman decomposition for differences-in-differences with variation in treatment timing.
Stars: ✭ 36 (-91.69%)
Mutual labels:  econometrics
mango
Parallel Hyperparameter Tuning in Python
Stars: ✭ 241 (-44.34%)
moead-py
A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)
Stars: ✭ 56 (-87.07%)
Mutual labels:  evolutionary-algorithm
optuna-examples
Examples for https://github.com/optuna/optuna
Stars: ✭ 238 (-45.03%)
ARCHModels.jl
A Julia package for estimating ARMA-GARCH models.
Stars: ✭ 63 (-85.45%)
Mutual labels:  econometrics
grmpy
Python package for the simulation and estimation of generalized Roy model
Stars: ✭ 14 (-96.77%)
Mutual labels:  econometrics
models-by-example
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Stars: ✭ 43 (-90.07%)
Mutual labels:  ridge-regression
NaiveNASflux.jl
Your local Flux surgeon
Stars: ✭ 20 (-95.38%)
hyper-engine
Python library for Bayesian hyper-parameters optimization
Stars: ✭ 80 (-81.52%)
FixedEffectModel
Fixedeffectmodel: panel data modeling in Python
Stars: ✭ 47 (-89.15%)
Mutual labels:  econometrics
ultraopt
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
Stars: ✭ 93 (-78.52%)
priceR
Economics and Pricing in R
Stars: ✭ 32 (-92.61%)
Mutual labels:  econometrics
codeflare
Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.
Stars: ✭ 163 (-62.36%)
randopt
Streamlined machine learning experiment management.
Stars: ✭ 108 (-75.06%)
osprey
🦅Hyperparameter optimization for machine learning pipelines 🦅
Stars: ✭ 71 (-83.6%)
ml-pipeline
Using Kafka-Python to illustrate a ML production pipeline
Stars: ✭ 90 (-79.21%)
CamelsOptimizer
Yes, it's a camel case.
Stars: ✭ 17 (-96.07%)
RobustModels.jl
A Julia package for robust regressions using M-estimators and quantile regressions
Stars: ✭ 18 (-95.84%)
Mutual labels:  ridge-regression
trsh
Project about minimizing costs in garbage collection in Montevideo, Uruguay, using Evolutionary Algorithms
Stars: ✭ 17 (-96.07%)
Mutual labels:  evolutionary-algorithm
SyntheticControlMethods
A Python package for causal inference using Synthetic Controls
Stars: ✭ 90 (-79.21%)
Mutual labels:  econometrics
bbopt
Black box hyperparameter optimization made easy.
Stars: ✭ 66 (-84.76%)
naturalselection
A general-purpose pythonic genetic algorithm.
Stars: ✭ 17 (-96.07%)
Econ5121A
Econ5121A@CUHK. This is an open-source writing project.
Stars: ✭ 56 (-87.07%)
Mutual labels:  econometrics
opt4j
Modular Java framework for meta-heuristic optimization
Stars: ✭ 25 (-94.23%)
Mutual labels:  evolutionary-algorithm
goga
Go evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).
Stars: ✭ 39 (-90.99%)
Mutual labels:  evolutionary-algorithm
optuna-dashboard
Real-time Web Dashboard for Optuna.
Stars: ✭ 240 (-44.57%)
allennlp-optuna
⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy
Stars: ✭ 33 (-92.38%)
CausalInferenceIntro
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python,适用于计量经济学、量化社会学、策略评估等领域。英文版原作者:Matheus Facure
Stars: ✭ 207 (-52.19%)
Mutual labels:  econometrics
optuna-allennlp
🚀 A demonstration of hyperparameter optimization using Optuna for models implemented with AllenNLP.
Stars: ✭ 17 (-96.07%)
gravity
R package that provides estimation methods for Gravity Models
Stars: ✭ 24 (-94.46%)
Mutual labels:  econometrics
mlrHyperopt
Easy Hyper Parameter Optimization with mlr and mlrMBO.
Stars: ✭ 30 (-93.07%)
hdfe
No description or website provided.
Stars: ✭ 22 (-94.92%)
Mutual labels:  econometrics
SMC.jl
Sequential Monte Carlo algorithm for approximation of posterior distributions.
Stars: ✭ 53 (-87.76%)
Mutual labels:  econometrics
cmaes
Python library for CMA Evolution Strategy.
Stars: ✭ 174 (-59.82%)
hone
A shell-friendly hyperparameter search tool inspired by Optuna
Stars: ✭ 17 (-96.07%)
1-60 of 158 similar projects