kjw0612 / awesome-random-forest
Random Forest - a curated list of resources regarding random forest
☆1,191Updated last year
Alternatives and similar repositories for awesome-random-forest:
Users that are interested in awesome-random-forest are comparing it to the libraries listed below
- Repository of my thesis "Understanding Random Forests"☆524Updated 8 years ago
- Topics Course on Deep Learning UC Berkeley☆1,300Updated 7 years ago
- Recurrent Neural Network - A curated list of resources dedicated to RNN☆6,111Updated 3 years ago
- A collection of research articles, blog posts, slides and code snippets about deep learning in applied settings.☆301Updated 8 years ago
- Deep Learning Architecture Genealogy Project☆1,219Updated 4 years ago
- Stanford Unsupervised Feature Learning and Deep Learning Tutorial☆693Updated 10 years ago
- A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017☆888Updated 7 years ago
- This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random …☆1,347Updated 5 years ago
- Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.☆3,190Updated 5 years ago
- open-source feature selection repository in python☆1,523Updated 7 months ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,391Updated 7 years ago
- Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python…☆1,130Updated 3 years ago
- A curated list of Machine Learning Surveys, Tutorials and Books.☆1,366Updated 2 years ago
- Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)☆565Updated 9 years ago
- A curated list of resources dedicated to bayesian deep learning☆415Updated 7 years ago
- Bayesian Program Learning model for one-shot learning☆977Updated 9 years ago
- Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave☆1,633Updated 2 years ago
- Various tutorials given for welcoming new students at MILA.☆985Updated 6 years ago
- Spearmint Bayesian optimization codebase☆1,552Updated 5 years ago
- Implementation of some deep learning algorithms.☆895Updated 10 years ago
- Slides and exercises for the Deep Learning Summer School 2015 programming tutorials☆389Updated 9 years ago
- Bayesian Python: Bayesian inference tools for Python☆693Updated 4 months ago
- Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.☆1,286Updated 9 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,829Updated 11 months ago
- Simple structured learning framework for python☆665Updated 3 years ago
- A curated list of awesome Torch tutorials, projects and communities☆631Updated 6 years ago
- ☆1,962Updated 4 years ago
- Combines the ease of use of scikit-learn with the power of Theano/Lasagne☆951Updated last year
- A CNN visualizer☆1,005Updated 6 years ago
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆877Updated 4 years ago