Alternatives and similar repositories for spectrum

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

• MengtingWan / KDEm
  This repository includes data and code for the algorithm of Kernel Density Estimation from Multiple Sources (KDEm) proposed in a KDD'16 p…
  ☆33Updated 5 years ago
• suzuki-shm / LLDA
  Scikit-learn like Labeled-LDA
  ☆37Updated 9 years ago
• mana-ysh / knowledge-graph-embeddings
  Implementations of Embedding-based methods for Knowledge Base Completion tasks
  ☆259Updated 4 years ago
• dddoss / tensorflow-socher-ntn
  Reimplementation of "Reasoning With Neural Tensor Networks for Knowledge Base Completion" (Socher, Chen 2013) in Google's TensorFlow fram…
  ☆139Updated 6 years ago
• glorotxa / SME
  ☆253Updated 10 years ago
• mp2893 / gram
  Graph-based Attention Model
  ☆245Updated 2 years ago
• daqcri / DAFNA-EA
  Truth Discovery Models
  ☆11Updated 7 years ago
• akashgit / autoencoding_vi_for_topic_models
  Tensorflow implementation for prodLDA and NVLDA.
  ☆254Updated 4 years ago
• rock3125 / sentence2vec
  Sentence2vec by Rock
  ☆311Updated 6 months ago
• hugochan / KATE
  Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"
  ☆146Updated 2 years ago
• mchen24 / iclr2017
  Doc2VecC from the paper "Efficient Vector Representation for Documents through Corruption"
  ☆187Updated 8 years ago
• bxshi / ProjE
  Embedding Projection for Knowledge Graph Completion
  ☆75Updated 6 years ago
• D2KLab / entity2vec
  Generates a set of property-specific entity embeddings from knowledge graphs using node2vec
  ☆77Updated 4 years ago
• inejc / paragraph-vectors
  A PyTorch implementation of Paragraph Vectors (doc2vec).
  ☆415Updated 2 years ago
• rajarshd / Gaussian_LDA
  ☆142Updated 5 years ago
• orenmel / context2vec
  ☆214Updated 6 years ago
• mnick / holographic-embeddings
  Code for experiments in the AAAI 2016 paper "Holographic Embeddings of Knowledge Graphs"
  ☆176Updated 7 years ago
• EdGENetworks / attention-networks-for-classification
  Hierarchical Attention Networks for Document Classification in PyTorch
  ☆606Updated 5 years ago
• mnick / scikit-kge
  Python library to compute knowledge graph embeddings
  ☆474Updated 6 years ago
• ematvey / hierarchical-attention-networks
  Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will proba…
  ☆467Updated last year
• erickrf / autoencoder
  Text autoencoder with LSTMs
  ☆262Updated 6 years ago
• cai-lw / KBGAN
  Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071
  ☆214Updated 6 years ago
• facebookresearch / kbc
  Tools for state of the art Knowledge Base Completion.
  ☆256Updated 4 years ago
• andychisholm / nel
  Entity linking framework
  ☆180Updated 7 years ago
• mansweet / Gaussian-LDA-word2vec
  LDA topic modeling with word2vec using gaussian topic distributions for infinite vocabulary
  ☆53Updated 9 years ago
• datquocnguyen / LFTM
  Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)
  ☆178Updated 8 years ago
• mnqu / PTE
  ☆96Updated 7 years ago
• nchah / freebase-triples
  A methodology to process triples data from the Freebase data dumps.
  ☆199Updated 6 years ago
• macks22 / dblp
  Parse the dblp data into a structured format for experimentation.
  ☆75Updated 8 years ago
• ttrouill / complex
  Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via…
  ☆327Updated 6 years ago