Alternatives and similar repositories for gibbs-sampling-for-the-uninitiated

Users that are interested in gibbs-sampling-for-the-uninitiated are comparing it to the libraries listed below

• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆23Updated 9 years ago
• contentinnovation / NeurIPS-2018-papers
  Machine-generated summaries and highlights of the every accepted paper at Thirty-second Conference on Neural Information Processing Syste…
  ☆71Updated 6 years ago
• benathi / density-order-emb
  Density Order Embeddings
  ☆33Updated 6 years ago
• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 7 years ago
• cbonnett / MDN_Edward_Keras_TF
  ☆13Updated 9 years ago
• AYLIEN / adversarial-document-model
  Code needed to reproduce "Modeling documents with Generative Adversarial Networks"
  ☆37Updated 8 years ago
• zhegan27 / ConvSent
  The training code for the EMNLP 2017 paper "Learning Generic Sentence Representations Using Convolutional Neural Networks"
  ☆34Updated 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
• ankitkv / SentimentVAE
  Deep generative model for sentiment analysis
  ☆34Updated 8 years ago
• vruvora / reinforcement-learning-kdd
  ☆42Updated 6 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆82Updated 3 years ago
• sebastianruder / learn-to-select-data
  Code for Learning to select data for transfer learning with Bayesian Optimization
  ☆170Updated 7 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• arunvenk / DaD
  Data as Demonstrator (DaD) is a meta learning algorithm to improve the multi-step predictive capabilities of a learned time series (e.g. …
  ☆33Updated 8 years ago
• jingli9111 / GORU-tensorflow
  Gated Orthogonal Recurrent Unit implementation in tensorflow
  ☆34Updated 6 years ago
• TheShadow29 / infnet-spen
  TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"
  ☆30Updated 7 years ago
• nd7141 / recsystutorial
  ☆16Updated 4 years ago
• eaplatanios / makina
  Machine Learning Library by Emmanouil Antonios Platanios
  ☆28Updated 8 years ago
• jayhack / LSTMVRAE
  Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks
  ☆55Updated 9 years ago
• philipperemy / keras-snail-attention
  SNAIL Attention Block for Keras.
  ☆16Updated 5 years ago
• TENGBINN / Bayes-by-Backprop
  TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
  ☆51Updated 6 years ago
• ceshine / recurrent-dropout-experiments
  ☆16Updated 6 years ago
• diogo149 / CauseEffectPairsChallenge
  ☆17Updated 11 years ago
• pravarmahajan / cnn-encoder-nmt
  ☆44Updated 7 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆34Updated 2 years ago
• DeNeutoy / bayesian-rnn
  ☆62Updated 8 years ago
• bloomberg / cnn-rnf
  Convolutional Neural Networks with Recurrent Neural Filters
  ☆53Updated 6 years ago
• edwin-de-jong / incremental-sequence-learning
  Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article
  ☆40Updated 7 years ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆48Updated 6 years ago