Alternatives and similar repositories for fmpytorch

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

• mzaradzki / factorization-machine-for-prediction
  Factorization Machine for regression and classification
  ☆98Updated 8 years ago
• kefirski / pytorch_NEG_loss
  NEG loss implemented in pytorch
  ☆123Updated 8 years ago
• Ian09 / CF-NADE
  A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.
  ☆80Updated 7 years ago
• dawenl / cofactor
  CoFactor: Regularizing Matrix Factorization with Item Co-occurrence
  ☆165Updated 8 years ago
• mesuvash / NNRec
  Neural models for Collaborative Filtering
  ☆127Updated 6 years ago
• JianGoForIt / YellowFin
  auto-tuning momentum SGD optimizer
  ☆424Updated 7 years ago
• Isminoula / DL-to-Rank
  Learning to Rank with Deep Neural Networks
  ☆155Updated 10 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆83Updated 3 years ago
• fstrub95 / Autoencoders_cf
  ☆169Updated 7 years ago
• mchen24 / iclr2017
  Doc2VecC from the paper "Efficient Vector Representation for Documents through Corruption"
  ☆186Updated 8 years ago
• kopopt / fast_tffm
  fast_tffm: Tensorflow-based Distributed Factorization Machine
  ☆141Updated 8 years ago
• katbailey / factorizer
  Matrix factorization using TensorFlow
  ☆62Updated 6 years ago
• mariru / exponential_family_embeddings
  Bernoulli Embeddings for Text
  ☆83Updated 7 years ago
• alexeygrigorev / libffm-python
  A Python wrapper for LibFFM
  ☆120Updated 6 years ago
• benanne / wmf
  Weighted matrix factorization in Python
  ☆72Updated 11 years ago
• lancifollia / tinygbt
  A Tiny, Pure Python implementation of Gradient Boosted Trees.
  ☆255Updated 5 years ago
• QingyaoAi / Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation
  This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to ran…
  ☆89Updated 2 years ago
• acbull / Unbiased_LambdaMart
  Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
  ☆224Updated 5 years ago
• daxiongshu / light-ffm
  ☆108Updated 8 years ago
• HongleiXie / DropoutNet
  Python + TensorFlow implementation of the DropoutNet model
  ☆13Updated 7 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆183Updated 7 years ago
• xgfs / deepwalk-c
  DeepWalk implementation in C++
  ☆99Updated last year
• EthanRosenthal / torchmf
  matrix factorization in PyTorch
  ☆130Updated 2 years ago
• hannw / nlstm
  Nested LSTM Cell
  ☆251Updated 7 years ago
• callowbird / Harmonica
  Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.
  ☆174Updated 6 years ago
• chrischoy / fully-differentiable-deep-ndf-tf
  Fully differentiable deep-neural decision forest in tensorflow
  ☆229Updated 7 years ago
• airalcorn2 / RankNet
  My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.
  ☆248Updated 6 years ago
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆246Updated 5 years ago
• gaohuang / S-WMD
  Code for Supervised Word Mover's Distance (SWMD)
  ☆92Updated 7 years ago
• andreweskeclarke / learning-rank-public
  Learning Rank
  ☆78Updated 8 years ago