Alternatives and similar repositories for Calibrated-Boosting-Forest:

Users that are interested in Calibrated-Boosting-Forest are comparing it to the libraries listed below

• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 8 years ago
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 9 years ago
• chengsoonong / digbeta
  Active learning for Big Data
  ☆25Updated 6 years ago
• mesuvash / LRec
  Linear Recommender AAAI-16 code
  ☆20Updated 7 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 7 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• olddaos / KerasDeepWalk
  Building word embedding for large graphs by a set of random walks. Model learning is backed by Keras, which now supports TensorFlow or Th…
  ☆17Updated 9 years ago
• elibol / amle
  Experiment code for "Probabilistic Matrix Factorization for Automated Machine Learning"
  ☆20Updated 7 years ago
• trangptm / HighwayNetwork
  For training very deep networks
  ☆10Updated 7 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 9 years ago
• daxiongshu / stack-nn-tensorflow
  ☆26Updated 8 years ago
• augboost-anon / augboost
  Gradient Boosting Enhanced with Step-Wise Feature Augmentation
  ☆16Updated 4 years ago
• Jianbo-Lab / deep-learning-project
  ☆8Updated 8 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 7 years ago
• crowdAI / crowdai-criteo-ad-placement-challenge-starter-kit
  Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge
  ☆19Updated 7 years ago
• kswersky / k-stochastic-neighbor
  Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".
  ☆27Updated 8 years ago
• hyperopt / hyperopt-nnet
  Hyperparameter optimization for neural networks
  ☆47Updated 11 years ago
• Atomu2014 / Optimization-Algorithms
  This is a paper list for recent studies on optimization algorithms.
  ☆12Updated 6 years ago
• jmschrei / notebooks
  Various notebooks and tutorials on subjects of interest.
  ☆36Updated 4 years ago
• aatapa / RLScore
  ☆67Updated last year
• JulienSiems / TensorFlow-Autoencoders
  Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
  ☆29Updated 7 years ago
• alno / batch-learn
  ☆49Updated 6 years ago
• maciejkula / mixture
  ☆27Updated 7 years ago
• kastnerkyle / kaggle-criteo
  Code for Criteo competition http://www.kaggle.com/c/criteo-display-ad-challenge
  ☆22Updated 10 years ago
• mpearmain / homesite
  Homesite Kaggle
  ☆30Updated 9 years ago
• gramolin / flavours-of-physics
  Second-ranked solution to the Kaggle "Flavours of Physics" competition
  ☆25Updated 9 years ago
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 10 years ago
• aakansh9 / ponpare
  A Kaggle competition (Rank 37 solution)
  ☆10Updated 5 years ago