dougian / lsh

Related projects: ⓘ

• sbalnojan / biggraph-examples
  Examples using PyTorch-BigGraph
  ☆17Updated 5 years ago
• aerdem4 / rapids-kaggle-utils
  High level utility functions for using Rapids on Kaggle Competitions
  ☆26Updated 4 years ago
• graph-embeddings / pbg-helper
  This is a helper for PyTorch-BigGraph
  ☆22Updated 4 years ago
• zygmuntz / gaussrank
  Preparing continuous features for neural networks with GaussRank
  ☆45Updated 6 years ago
• cemoody / flexi_hash_embedding
  PyTorch Flexible Hash Embeddings
  ☆28Updated 4 years ago
• robinniesert / kaggle-champs
  Code for the CHAMPS Predicting Molecular Properties Kaggle competition
  ☆50Updated 5 years ago
• ostamand / tensorflow-tabnet
  Improved TabNet for TensorFlow
  ☆51Updated 2 years ago
• maciejkula / mixture
  ☆27Updated 6 years ago
• alexeygrigorev / nips-ad-placement-challenge
  The winning solution to the Ad Placement Challenge (NIPS'17 Causal Inference and Machine Learning Workshop)
  ☆38Updated 6 years ago
• chrisPiemonte / url2vec
  Graph clustering and Node embeddings with word2vec
  ☆13Updated 5 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 7 years ago
• labdac / Meta-Prod2Vec
  Repository for experiments with MetaProd2Vec and related algorithms.
  ☆58Updated 5 years ago
• anonICLR2020 / node
  ☆26Updated 5 years ago
• IlyaTrofimov / bb2vec
  This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"
  ☆11Updated 5 years ago
• tohtsky / myFM
  A Python/C++ implementation of Bayesian Factorization Machines
  ☆57Updated 2 weeks ago
• mwydmuch / napkinXC
  Extremely simple and fast extreme multi-class and multi-label classifiers.
  ☆64Updated 2 weeks ago
• ppontisso / Extreme-Multi-Label-Classification
  Introduction Notebook to Extreme Multi-Label Classification problem (XML)
  ☆23Updated 6 years ago
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 4 years ago
• saket-maheshwary / AutoLearn
  AutoLearn, a domain independent regression-based feature learning algorithm.
  ☆30Updated 5 years ago
• evfro / recsys19_hybridsvd
  Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
  ☆25Updated 5 years ago
• FlorianWilhelm / mlstm4reco
  Multiplicative LSTM for Recommendations
  ☆20Updated 6 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 2 years ago
• AntoinePassemiers / Encoder-Forest
  eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding
  ☆22Updated 4 years ago
• stanis-morozov / prodige
  A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.
  ☆47Updated 4 years ago
• kramerlab / direct-ranker
  Code and Supplementary Material to the Paper: Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysi…
  ☆36Updated 11 months ago
• rjagerman / pytorchltr
  Learning to Rank in PyTorch
  ☆76Updated 8 months ago
• BaseModelAI / booking-challenge
  ☆40Updated 3 years ago
• GTmac / FastRP
  Code for the CIKM 2019 Paper "Fast and Accurate Network Embeddings via Very Sparse Random Projection"
  ☆55Updated 4 years ago
• frederickayala / session-based-recsys
  Tutorials on session-based recommender systems
  ☆11Updated 7 years ago
• goodmattg / quora_kaggle
  Storage for Kaggle Quora competition
  ☆16Updated 7 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated last year