zatonovo / deep_learning_ex
Deep learning examples
☆13Updated 8 years ago
Alternatives and similar repositories for deep_learning_ex:
Users that are interested in deep_learning_ex are comparing it to the libraries listed below
- SigOpt's public R client☆14Updated last year
- Statistical Learning & Data Mining IV - H2O Presenation & Tutorial☆26Updated 7 years ago
- R interface to Tensorflow via skflow☆18Updated 8 years ago
- Demonstration of parametric bootstrap to find k for kmeans☆10Updated 4 years ago
- JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts☆23Updated 8 years ago
- Deepboost R-package for submission☆19Updated 7 years ago
- Compare the scoring speed of several open source machine learning libraries.☆20Updated 7 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
- An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.☆45Updated 10 years ago
- Kaggle scripts: R vs pydata + most popular R and Python packages for Machine Learning☆11Updated 8 years ago
- Code used to compare sentiments of various sermons☆24Updated 13 years ago
- Python data analysis course for 2017 NGCM Summer Academy☆20Updated 7 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated last year
- World Cup 2014 Data Analysis and Predictions☆15Updated 9 years ago
- Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016☆26Updated 8 years ago
- Slides and materials for the "Teaching Data Science at All Levels" invited session at ENAR 2018☆20Updated 7 years ago
- "Exploratory Data Analysis using Random Forests"☆18Updated 9 years ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆20Updated last year
- Module 7: Introduction to D3.js☆21Updated 9 years ago
- Materials for a workshop on developing undergraduate classes on Bayesian statistics.☆47Updated 8 years ago
- Materials for the PyData San Francisco 2016 visualization tutorial☆14Updated 8 years ago
- R package to compute and visualize summary trees☆36Updated 9 years ago
- Course materials for Stat 243, fall 2016, at UC Berkeley☆9Updated 8 years ago
- Examples used for useR! 2016 knitr tutorial☆15Updated 8 years ago
- A system for blending regression models in R☆75Updated 12 years ago
- Lecture Slides for Introduction to Data Science☆25Updated 2 years ago
- Draft syllabus for the Data Challenge Lab☆23Updated 8 years ago
- Materials for Nathan and Garrett's tutorial R for Big Data☆17Updated 8 years ago
- R Interface for LightGBM☆47Updated 7 years ago
- Animated Visualizations of Popular Machine Learning Algorithms☆35Updated 8 years ago