Alternatives and similar repositories for awesome-random-forest

Users that are interested in awesome-random-forest are comparing it to the libraries listed below

• glouppe / phd-thesis
  Repository of my thesis "Understanding Random Forests"
  ☆525Updated 8 years ago
• joanbruna / stat212b
  Topics Course on Deep Learning UC Berkeley
  ☆1,301Updated 7 years ago
• kjw0612 / awesome-rnn
  Recurrent Neural Network - A curated list of resources dedicated to RNN
  ☆6,136Updated 3 years ago
• Newmu / Theano-Tutorials
  Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
  ☆1,290Updated 9 years ago
• goodfeli / theano_exercises
  Exercises for my tutorials on Theano
  ☆684Updated 9 years ago
• jatinshah / ufldl_tutorial
  Stanford Unsupervised Feature Learning and Deep Learning Tutorial
  ☆693Updated 10 years ago
• Element-Research / rnn
  Recurrent Neural Network library for Torch7's nn
  ☆945Updated 7 years ago
• robi56 / awesome-bayesian-deep-learning
  A curated list of resources dedicated to bayesian deep learning
  ☆415Updated 8 years ago
• danluu / UFLDL-tutorial
  Deep Learning and Unsupervised Feature Learning Tutorial Solutions
  ☆392Updated 7 years ago
• carpedm20 / awesome-torch
  A curated list of awesome Torch tutorials, projects and communities
  ☆634Updated 7 years ago
• probml / pmtk3
  Probabilistic Modeling Toolkit for Matlab/Octave.
  ☆1,558Updated 3 years ago
• dennybritz / deeplearning-papernotes
  Summaries and notes on Deep Learning research papers
  ☆4,421Updated 7 years ago
• benanne / kaggle-ndsb
  Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)
  ☆568Updated 10 years ago
• google / prettytensor
  Pretty Tensor: Fluent Networks in TensorFlow
  ☆1,233Updated 5 years ago
• hunkim / DeepLearningStars
  Top Deep Learning Projects based on their Stars!
  ☆428Updated last year
• mila-iqia / fuel
  A data pipeline framework for machine learning
  ☆869Updated 2 years ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,396Updated 7 years ago
• ReactiveCJ / BayesianLearning
  Bayesian Machine Learning
  ☆207Updated 2 years ago
• lisa-lab / DeepLearningTutorials
  Deep Learning Tutorial notes and code. See the wiki for more info.
  ☆4,132Updated 4 years ago
• nitishsrivastava / deepnet
  Implementation of some deep learning algorithms.
  ☆897Updated 10 years ago
• andersbll / deeppy
  Deep learning in Python
  ☆1,378Updated 4 years ago
• rasbt / deep-learning-book
  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
  ☆2,798Updated 4 years ago
• dnouri / nolearn
  Combines the ease of use of scikit-learn with the power of Theano/Lasagne
  ☆952Updated last year
• kristjankorjus / applied-deep-learning-resources
  A collection of research articles, blog posts, slides and code snippets about deep learning in applied settings.
  ☆301Updated 8 years ago
• amaas / stanford_dl_ex
  Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
  ☆2,618Updated 4 years ago
• junhyukoh / deep-reinforcement-learning-papers
  A list of recent papers regarding deep reinforcement learning
  ☆2,194Updated 8 years ago
• bioinf-jku / SNNs
  Tutorials and implementations for "Self-normalizing networks"
  ☆1,585Updated 3 years ago
• dclambert / Python-ELM
  Extreme Learning Machine implementation in Python
  ☆546Updated 4 years ago
• KnHuq / Dynamic-Tensorflow-Tutorial
  Tensorflow tutorial of building different dynamic recurrent neural network
  ☆500Updated 7 years ago
• rcompton / ml_cheat_sheet
  My notes and superstitions about common machine learning algorithms
  ☆367Updated 8 years ago