Alternatives and similar repositories for Locality-sensitive-hashing-tutorial:

Users that are interested in Locality-sensitive-hashing-tutorial are comparing it to the libraries listed below

• KalimAmzad / Graph-Theory-in-Python
  Graph Theory Algorithm is implemented in python. Jupyter Notebook is used to demonstrate the concept and Networkx library is used in seve…
  ☆25Updated 6 years ago
• PiotrTa / Mining-Massive-Datasets
  Data mining algorithms with Python
  ☆10Updated 5 years ago
• sayakpaul / EvoNorms-in-TensorFlow-2
  Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.
  ☆11Updated 4 years ago
• jacopotagliabue / clothes-in-space
  Personalization with deep learning in 100 lines of code
  ☆14Updated last year
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 6 years ago
• paperd / tensorflow
  TensorFlow materials
  ☆13Updated 4 years ago
• sparsh-ai / reco-bandit
  Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning
  ☆10Updated 3 years ago
• criteo / mlflow-elasticsearchstore
  ElasticSearch implementation of MlFlow tracking store
  ☆18Updated 4 years ago
• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 5 years ago
• WillianFuks / pySearchML
  Search system on top of Elasticsearch, Kubeflow and Katib
  ☆29Updated last year
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• kylegallatin / mlops-pipeline
  ☆20Updated 3 years ago
• cloudera / CML_AMP_Continuous_Model_Monitoring
  Demonstration of how to perform continuous model monitoring on CML using Model Metrics and Evidently.ai dashboards
  ☆12Updated 3 months ago
• amesar / mlflow-model-monitoring
  ☆12Updated 2 years ago
• FINRAOS / model-validation-toolkit
  Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…
  ☆29Updated last year
• ing-bank / spark-matcher
  Record matching and entity resolution at scale in Spark
  ☆34Updated last year
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 5 years ago
• JohnSnowLabs / spark-nlp-streamlit
  Spark NLP for Streamlit
  ☆15Updated 3 years ago
• santhoshhari / Locality-Sensitive-Hashing
  Application of Locality Sensitive Hashing to Audio Fingerprinting
  ☆59Updated 6 years ago
• nickc1 / sklearn_fastapi
  Building an API with the FastAPI framework to serve a scikit-learn model.
  ☆18Updated 6 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 5 years ago
• mlops-labs-team1 / engineering.labs
  The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info
  ☆16Updated 4 years ago
• MonaNashaat / Asterisk
  Generating Training Data Made Easy
  ☆43Updated 4 years ago
• bodealamu / datamallet
  Datamallet is a python library which contains several helper functions and module for the common tasks in a typical data science workflow…
  ☆11Updated 2 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 5 years ago
• bishwarup307 / async-ml-medium
  Collection of python scripts to demonstrate asynchronous programming in python
  ☆11Updated 2 years ago
• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆14Updated 4 years ago
• tirthajyoti / Dask-analytics-ML
  Data science and ML with Dask
  ☆14Updated 3 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago