bellettif / tensorflow-tutorialLinks
☆10Updated 8 years ago
Alternatives and similar repositories for tensorflow-tutorial
Users that are interested in tensorflow-tutorial are comparing it to the libraries listed below
Sorting:
- Deepboost R-package for submission☆19Updated 8 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 11 years ago
- Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…☆16Updated 4 years ago
- 💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017☆23Updated 8 years ago
- A public wiki for the deep learning reading group at UC Berkeley☆27Updated 9 years ago
- Short programming tutorials pertaining to data analysis.☆15Updated 8 years ago
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20Updated 7 years ago
- Software for learning sparse Bayesian networks☆42Updated 5 years ago
- Deep learning examples☆13Updated 9 years ago
- Book: Practical Probabilistic Machine Learning in Python☆10Updated 4 years ago
- Materials for workshop on GPU computation for statistics, data science, machine learning applications.☆14Updated 9 years ago
- Shirin's playgRound - exploring and playing with data in R☆18Updated 6 years ago
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Updated 11 years ago
- This repository holds all course materials for the fall 2016 offering of Statistics 238 (Bayesian Statistics) at UC Berkeley.☆30Updated 9 years ago
- Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo☆52Updated 12 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated last year
- repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"☆13Updated 8 years ago
- Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.☆14Updated 10 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Fast k-Nearest Neighbors Classifier for Large Datasets☆70Updated 8 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Updated 9 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- An R package providing access to the OpenAI Gym API☆21Updated 8 years ago
- A Python Tour of Data Science☆30Updated 8 years ago
- Mirror of Apache Spark☆24Updated 10 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 9 years ago
- Discovering deep embedding spaces for Psychiatric imaging☆16Updated 8 years ago
- ☆12Updated 8 years ago
- Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016☆27Updated 9 years ago