Alternatives and similar repositories for benchmark_minhash_lsh

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

• magsol / pyspark-lsh
  Locality-sensitive hashing in PySpark.
  ☆27Updated 10 years ago
• mottalrd / learning-to-rank
  Experiments on how to use machine learning to rank a product catalog
  ☆83Updated 8 years ago
• gabrielspmoreira / kaggle_outbrain_click_prediction_google_cloud_ml_engine
  A POC of Google's Wide & Deep Learning models deployed on Google Cloud ML Engine for Kaggle's Outbrain Click Competition
  ☆36Updated 7 years ago
• khuangaf / Kaggle-Avito-NN
  The 18th Place Solution to Avito Demand Prediction Challenge
  ☆26Updated 6 years ago
• shayanzare007 / EntitySentiment
  Entity level sentiment analysis for product reviews using deep learning
  ☆56Updated 9 years ago
• appurwar / Contextual-Bandit-News-Article-Recommendation
  Predict and recommend the news articles, user is most likely to click in real time.
  ☆32Updated 7 years ago
• ppontisso / Extreme-Multi-Label-Classification
  Introduction Notebook to Extreme Multi-Label Classification problem (XML)
  ☆22Updated 7 years ago
• zygmuntz / evaluating-recommenders
  Compute and plot NDCG for a recommender system
  ☆95Updated 8 years ago
• husnejahan / Multi-armed-bandits-for-dynamic-movie-recommendations
  Multi-armed bandits for dynamic movie recommendations
  ☆14Updated 5 years ago
• giuseppebonaccorso / Reuters-21578-Classification
  Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM
  ☆45Updated 8 years ago
• rnowling / rec-sys-experiments
  Some experiments with recommendation systems
  ☆28Updated 7 years ago
• swapniel99 / criteo
  A potential 22nd rank solution to Criteo Labs Display Advertising Challenge on Kaggle
  ☆25Updated 8 years ago
• sindbach / doc2vec_pymongo
  Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)
  ☆37Updated 2 years ago
• labdac / Meta-Prod2Vec
  Repository for experiments with MetaProd2Vec and related algorithms.
  ☆58Updated 6 years ago
• JRC1995 / Bi-GRU-CRF-NER
  Attempted implementation of a Bi-directional GRU followed by a linear-chain-CRF (from scratch) for Named Entity Recognition.
  ☆15Updated 7 years ago
• Akxay / recommendation_engine
  ☆23Updated 6 years ago
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆59Updated 5 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆67Updated 2 years ago
• evagian / Document-similarity-K-shingles-minhashing-LSH-python
  ☆32Updated 7 years ago
• sparsh-ai / reco-bandit
  Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning
  ☆12Updated 4 years ago
• mxbi / ftim
  Feature-Time Instability Metric
  ☆44Updated 9 years ago
• abaheti95 / Deep-Learning
  I'll put all the valuable tutorials and starter codes of deep learning here.
  ☆41Updated 8 years ago
• arifqodari / ExpediaLearningToRank
  Expedia Learning to Rank Hotels to Maximize Purchases, Kaggle Competition
  ☆44Updated 10 years ago
• philipperemy / keras-snail-attention
  SNAIL Attention Block for Keras.
  ☆16Updated 5 years ago
• jrzaurin / neural_cf
  Comparing keras, pytorch and gluon using neural collaborative filtering
  ☆18Updated 6 years ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆48Updated 7 years ago
• FlorianWilhelm / mlstm4reco
  Multiplicative LSTM for Recommendations
  ☆20Updated 7 years ago
• lca4 / collaborative-rnn
  A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).
  ☆59Updated 7 years ago
• pandeydivesh15 / NER-using-Deep-Learning
  A project on achieving Named-Entity Recognition using Deep Learning.
  ☆25Updated 6 years ago
• abhijeet3922 / Image-compression-with-Kmeans-clustering
  A lossy compression to illustrate an application of K-means clustering algorithm
  ☆22Updated 6 years ago