gregversteeg / discrete_sieve

Related projects: ⓘ

• premgopalan / bnprec
  Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…
  ☆15Updated 10 years ago
• pmineiro / randembed
  Randomized embeddings for extreme learning
  ☆24Updated 8 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆47Updated 8 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 4 years ago
• ipod825 / keraflow
  ☆29Updated 6 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 6 years ago
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 9 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆27Updated 8 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 9 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 9 years ago
• allentran / graph2vec
  Theano implementation of GloVe for graphs
  ☆45Updated 9 years ago
• DTU-deeplearning / day4-VAE
  ☆12Updated this week
• mbeissinger / recurrent_gsn
  Deep Generative Stochastic Networks for Sequence Prediction
  ☆9Updated last year
• davidBelanger / tf-hypergrad
  simple example of gradient-based hyperparameter optimization using tensorflow
  ☆19Updated 8 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 8 years ago
• banilo / nips2015
  ☆14Updated 8 years ago
• cjf00000 / ScaCTM
  Scalable inference for Correlated Topic Models
  ☆30Updated 9 years ago
• JonathanRaiman / rsm
  Topic analysis using RSM or PVDM.
  ☆11Updated 9 years ago
• craffel / lstm_benchmarks
  Benchmarking different LSTM libraries
  ☆24Updated 8 years ago
• cheng6076 / mlm
  A comparative study of different LSTM structures
  ☆33Updated 8 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆28Updated 6 years ago
• sckangz / recom_mc
  ☆11Updated 8 years ago
• instagibbs / FactorizationMachine
  ☆36Updated 9 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 4 years ago
• FurongHuang / TensorDecomposition4TopicModeling
  ☆20Updated 7 years ago
• policecar / deepDB
  Neural tensor network for KB completion ( http://papers.nips.cc/paper/by-source-2013-504 )
  ☆21Updated 10 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆31Updated 8 years ago
• matpalm / rnn_lm
  various simple RNNs trained on synthetic grammars
  ☆30Updated 9 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 10 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago