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

• 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
• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆23Updated 9 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• maciejkula / mixture
  ☆27Updated 7 years ago
• benathi / density-order-emb
  Density Order Embeddings
  ☆33Updated 6 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 8 years ago
• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 7 years ago
• spro / sconce-python
  ☆16Updated 8 years ago
• howardhsu / L-DEM
  code for our IJCAI 2018 paper : "Lifelong Domain Word Embedding via Meta-Learning"
  ☆11Updated 6 years ago
• TENGBINN / Bayes-by-Backprop
  TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
  ☆51Updated 6 years ago
• zhegan27 / ConvSent
  The training code for the EMNLP 2017 paper "Learning Generic Sentence Representations Using Convolutional Neural Networks"
  ☆34Updated 7 years ago
• easonnie / ResEncoder
  This repo is for residual-connected sentence encoder for NLI.
  ☆11Updated 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
• AYLIEN / adversarial-document-model
  Code needed to reproduce "Modeling documents with Generative Adversarial Networks"
  ☆37Updated 8 years ago
• nd7141 / recsystutorial
  ☆16Updated 4 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• TheShadow29 / infnet-spen
  TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"
  ☆30Updated 7 years ago
• chaitjo / lstm-context-embeddings
  Augmenting word embeddings with their surrounding context using bidirectional RNN
  ☆60Updated 5 years ago
• ankitkv / SentimentVAE
  Deep generative model for sentiment analysis
  ☆34Updated 8 years ago
• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 7 years ago
• vruvora / reinforcement-learning-kdd
  ☆42Updated 6 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• BorisMuzellec / EllipticalEmbeddings
  Python code for implementing embeddings in the Wasserstein space of elliptical distributions
  ☆11Updated 4 years ago
• apmoore1 / fiesta
  Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
  ☆14Updated 3 years ago
• joanbruna / ir18
  Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18
  ☆67Updated 6 years ago
• benhamner / ExpediaPersonalizedSortCompetition
  Transformation and benchmark code for Expedia's Personalized Sort Kaggle Competition
  ☆35Updated 11 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆82Updated 3 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
• philipperemy / keras-snail-attention
  SNAIL Attention Block for Keras.
  ☆16Updated 5 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆34Updated 2 years ago