pablormier / machine-learning-notebooksLinks
Notes on Pattern Recognition and Machine Learning
☆10Updated 8 years ago
Alternatives and similar repositories for machine-learning-notebooks
Users that are interested in machine-learning-notebooks are comparing it to the libraries listed below
Sorting:
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Talks from Neil Lawrence☆54Updated last year
- Collection of jupyter notebooks for demonstrating software.☆168Updated 2 years ago
- A scikit-learn compatible implementation of hyperband☆77Updated 5 years ago
- Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440☆35Updated 7 years ago
- In which I try to demystify the fundamental concepts behind Bayesian deep learning.☆123Updated 7 years ago
- Probabilistic Principal Component Analysis☆63Updated 8 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Missing Data Imputation Python Library☆35Updated 5 years ago
- Introductory overview of Bayesian inference☆44Updated 6 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated 2 months ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- Statistical Rethinking with PyTorch and Pyro☆164Updated 3 months ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 5 years ago
- Transforms univariate data into normally distributed data☆77Updated 3 years ago
- my blog☆268Updated 3 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 7 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- a feature engineering wrapper for sklearn☆52Updated 5 years ago
- Fill missing values in Pandas DataFrames using Restricted Boltzmann Machines☆23Updated 5 years ago
- Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.☆72Updated 2 years ago
- Randomized Dimension Reduction Library☆115Updated 4 years ago
- List of resources for bayesian inference☆157Updated 6 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 3 years ago
- Multiple imputation utilising denoising autoencoder for approximate Bayesian inference☆122Updated 5 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 3 years ago
- ☆98Updated 7 years ago
- Implementation of Symmetric SNE and t-SNE in numpy and python☆76Updated 4 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- Bayesian Inference and parameter estimation in quant finance.☆42Updated 6 years ago