Alternatives and similar repositories for lshashing

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

• brendanhasz / dagio
  A python package for running directed acyclic graphs of asynchronous I/O operations
  ☆17Updated 4 years ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 3 years ago
• practicalweaksupervisionbook / companion
  ☆24Updated 4 years ago
• decile-team / spear
  SPEAR: Programmatically label and build training data quickly.
  ☆109Updated last year
• Jmkernes / Locality-sensitive-hashing-tutorial
  A tutorial on locality sensitive hashing, using MinHashing for document similarity and CosineSimilarity for Euclidean space similarity.
  ☆34Updated 5 years ago
• Data-Heroes / dataheroes
  Public repository holding examples for dataheroes library
  ☆25Updated 8 months ago
• MathiasKraus / MarketBasket
  Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching
  ☆19Updated 6 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 2 years ago
• salastro / wavepde
  Wave Partial Differential Equation Solver in Python
  ☆14Updated last year
• TyMick / loan-risk-neural-network
  Loan Risk Prediction Neural Network and API
  ☆17Updated 5 years ago
• facebookarchive / fronni
  machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast
  ☆16Updated 4 years ago
• vsoch / django-river-ml
  Django plugin for online machine learning with river (under-development)
  ☆15Updated 2 years ago
• AlexIoannides / llm-regression
  Exploring the classical regression capabilities of LLMs.
  ☆18Updated last year
• ArjitJ / DIAL
  Implementation of the paper "Deep Indexed Active Learning for Matching Heterogeneous Entity Representations"
  ☆17Updated 4 years ago
• fritshermans / deduplipy
  Python package for deduplication/entity resolution using active learning
  ☆83Updated last year
• eventbrite / pymetrics
  Versatile Metrics Collection for Python
  ☆20Updated last month
• jianzhnie / AutoTabular
  Automatic machine learning for tabular data. ⚡🔥⚡
  ☆70Updated 4 years ago
• koaning / uvnb
  Have UV deal with all your Jupyter deps.
  ☆28Updated last year
• runprism / prism
  Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.
  ☆87Updated last year
• runprism / alto
  Serverless for data practitioners. The fastest ⚡️ way to run your code in the cloud. Effortlessly run scripts, functions, and Jupyter not…
  ☆41Updated last year
• chr1st1ank / narrow-down
  Fast fuzzy text search
  ☆11Updated 2 years ago
• januverma / transformers-for-sequential-recommendation
  Notebooks on using transformers for sequential recommendation tasks
  ☆17Updated 3 years ago
• koaning / icepickle
  It's a cooler way to store simple linear models.
  ☆27Updated last year
• lancedb / lance-deeplearning-recipes
  Deep Learning how-to's using Lance file format
  ☆22Updated 8 months ago
• LaureBerti / Learn2Clean
  Learn2Clean: Optimizing the Sequence of Tasks for Data Preparation and Cleaning
  ☆53Updated 3 years ago
• awesome-panel / panel-modal
  A Modal that works with Panel in both server and notebook environments.
  ☆21Updated 2 years ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated last year
• ing-bank / spark-matcher
  Record matching and entity resolution at scale in Spark
  ☆36Updated 2 years ago
• vraj-ucsd / ML-Data-Prep-Zoo
  ☆31Updated 4 years ago
• MichalKarol / futurepool
  FuturePool is a package that introduce known concept of multiprocessing Pool to the async/await world. It allows for easy translation fro…
  ☆14Updated last year