Alternatives and similar repositories for easyopt

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

• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• composable-logs / composable-logs
  Python library to run ML/data pipelines on stateless compute infrastructure (that may be ephemeral or serverless). Please see the documen…
  ☆18Updated 2 years ago
• oskar-j / awesome-auto-ml
  Awesome list of AutoML frameworks - curated by @oskar-j
  ☆30Updated 2 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 3 years ago
• lancedb / lance-deeplearning-recipes
  Deep Learning how-to's using Lance file format
  ☆20Updated 4 months ago
• bytehub-ai / bytehub
  ByteHub: making feature stores simple
  ☆61Updated 4 years ago
• smazzanti / tds_you_dont_need_statistics_to_run_experiments
  ☆13Updated last year
• amazon-science / creating-and-correcting-novel-ml-model-errors
  ☆30Updated 3 years ago
• hora-search / horapy
  🐍 Python bidding for the Hora Approximate Nearest Neighbor Search Algorithm library
  ☆73Updated 4 years ago
• bytewax / stateful-chat
  Clone of chatgpt built with Bytewax, Streamlit and NATS
  ☆14Updated 2 years ago
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆108Updated 3 years ago
• sametcopur / obliquetree
  obliquetree is an advanced decision tree implementation featuring oblique and axis-aligned splits, optimized performance.
  ☆21Updated 2 months ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 2 years ago
• ml-tooling / lazycluster
  🎛 Distributed machine learning made simple.
  ☆49Updated 2 years ago
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆149Updated last year
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis.
  ☆78Updated 6 months ago
• victusfate / concierge
  real time recommendation playground
  ☆15Updated 2 years ago
• facebookarchive / fronni
  machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast
  ☆16Updated 3 years ago
• adrinjalali / joblib-modal
  A library to use `modal` as a backend for `joblib`.
  ☆31Updated 9 months ago
• h2oai / wave-ml
  Automatic Machine Learning (AutoML) for Wave Apps
  ☆32Updated 2 years ago
• aporia-ai / inferencedb
  🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)
  ☆81Updated 3 years ago
• oracle / macest
  Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores
  ☆99Updated 3 weeks ago
• tirthajyoti / Synthetic-data-gen
  Various methods for generating synthetic data for data science and ML
  ☆80Updated 4 years ago
• dream-faster / krisi
  ⏳ Evaluation of Time-Series Predictions with powerful pdf and web Reporting. Tailored for evaluation of metrics over time!
  ☆23Updated last year
• astronomer / ray-airflow-demo
  ☆31Updated 4 years ago
• online-ml / beaver
  🦫 MLOps for (online) machine learning
  ☆87Updated last year
• graphsignal / graphsignal-python
  Graphsignal Tracer for Python
  ☆204Updated 3 weeks ago
• trane-dev / Trane
  An open source python library for automated prediction engineering
  ☆44Updated 4 months ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 8 months 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