paulhendricks / gym-RLinks
An R package providing access to the OpenAI Gym API
☆21Updated 7 years ago
Alternatives and similar repositories for gym-R
Users that are interested in gym-R are comparing it to the libraries listed below
Sorting:
- Statistical Learning & Data Mining IV - H2O Presenation & Tutorial☆26Updated 7 years ago
- An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.☆45Updated 10 years ago
- ☆13Updated 8 years ago
- libFM R package☆26Updated 8 years ago
- Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…☆16Updated 3 years ago
- R interface to Tensorflow via skflow☆18Updated 9 years ago
- Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit☆21Updated 7 years ago
- R Interface for LightGBM☆47Updated 7 years ago
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆61Updated 2 years ago
- (fo)recast (re)gressor (gen)erator☆15Updated 9 years ago
- Showcase for using H2O and R for scoring for marketing campaign in retail☆54Updated 6 years ago
- Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)☆58Updated 7 years ago
- Exploratory and diagnostic machine learning tools for R☆73Updated 3 years ago
- Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016☆26Updated 8 years ago
- Deepboost R-package for submission☆19Updated 7 years ago
- Materials for Nathan and Garrett's tutorial R for Big Data☆17Updated 8 years ago
- R wrapper for MLJAR API☆16Updated 5 years ago
- R model API to support bucketing and masking☆12Updated 6 years ago
- A curated list of gradient boosting machines (GBM) resources☆10Updated 6 years ago
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20Updated 7 years ago
- Advanced package for recommender systems☆19Updated 7 years ago
- Machine learning in R that doesn’t suck