Alternatives and similar repositories for augboost

Users that are interested in augboost are comparing it to the libraries listed below

• kingfengji / mGBDT
  This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
  ☆104Updated 6 years ago
• huanzhang12 / lightgbm-gpu
  Development Repository for GPU-accelerated GBDT training
  ☆60Updated 8 years ago
• mesuvash / LRec
  Linear Recommender AAAI-16 code
  ☆21Updated 7 years ago
• mzaradzki / factorization-machine-for-prediction
  Factorization Machine for regression and classification
  ☆98Updated 8 years ago
• daxiongshu / stack-nn-tensorflow
  ☆26Updated 8 years ago
• chentingpc / NNCF
  Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"
  ☆39Updated 7 years ago
• haozhenWu / Calibrated-Boosting-Forest
  Original implementation of Calibrated Boosting-Forest
  ☆18Updated 7 years ago
• 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
• kingfengji / eForest
  This is the official implementation for the paper 'AutoEncoder by Forest'
  ☆75Updated 7 years ago
• xzhren / DeepForest
  upgrade official version of gcForest v1.0.
  ☆21Updated 7 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆68Updated last year
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆10Updated 3 years ago
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆79Updated 6 years ago
• zygmuntz / gaussrank
  Preparing continuous features for neural networks with GaussRank
  ☆45Updated 7 years ago
• STO-OTZ / my_gcForest
  ☆34Updated 8 years ago
• swapniel99 / criteo
  A potential 22nd rank solution to Criteo Labs Display Advertising Challenge on Kaggle
  ☆25Updated 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 8 years ago
• nw2190 / TensorFlow_Examples
  Collection of TensorFlow Examples
  ☆37Updated 7 years ago
• breezedeus / breezedeus.github.io
  Breezedeus's Blog
  ☆17Updated 2 years ago
• faychu / nfm
  ☆13Updated 8 years ago
• dclambert / pyensemble
  An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
  ☆150Updated 4 years ago
• dsv77 / hashembedding
  Hash Embedding code for the paper "Hash Embeddings for Efficient Word Representations"
  ☆42Updated 7 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆67Updated 2 years ago
• shuyao95 / kddcup2019-automl
  Code for KDD CUP 2019 Auto-ML track
  ☆21Updated 6 years ago
• rakesh-chinta / Advanced-Factorization-of-Machine-Systems
  GSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python…
  ☆14Updated 8 years ago
• arthurdouillard / keras-snapshot_ensembles
  Implementation in Keras of: Snapshot Ensembles: Train 1, get M for free (https://arxiv.org/abs/1704.00109)
  ☆26Updated 6 years ago
• zygmuntz / classifier-calibration
  Reliability diagrams, Platt's scaling, isotonic regression
  ☆76Updated 11 years ago
• thomasopsomer / graph-embedding
  Learning graph embedding using DeepWalk or Node2Vec
  ☆15Updated 8 years ago
• whongyi / datafilter-recsys
  code for ResSys'18 paper: "Exploring Recommendations Under User-Controlled Data Filtering"
  ☆23Updated 6 years ago