Alternatives and similar repositories for kaggle_pipeline_tps_aug_22

Users that are interested in kaggle_pipeline_tps_aug_22 are comparing it to the libraries listed below

• tunguz / TabularBenchmarks
  ☆202Updated last week
• eugeneyan / testing-ml
  🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
  ☆263Updated 2 years ago
• tmabraham / awesome-fastai
  A curated list of awesome fastai projects/blog posts/tutorials/etc.
  ☆174Updated 3 years ago
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆270Updated 3 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆407Updated 3 years ago
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 3 years ago
• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆143Updated 2 years ago
• vopani / waveton
  100 applications built with H2O Wave
  ☆99Updated 2 years ago
• radekosmulski / nvt_op_examples
  ☆27Updated 3 years ago
• tunguz / UCI_Census_Income
  ☆17Updated 3 years ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆182Updated last year
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆413Updated 3 years ago
• mattharrison / effective_xgboost_book
  ☆287Updated 2 years ago
• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆276Updated 3 years ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆208Updated 3 years ago
• vopani / fortyone
  Machine Learning begins with Human Learning
  ☆108Updated 4 years ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆149Updated last year
• eugeneyan / applyingml
  📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
  ☆203Updated last year
• Lightning-AI / engineering-class
  Lightning Bits: Engineering for Researchers repo
  ☆132Updated 3 years ago
• jacopotagliabue / recs-at-resonable-scale
  Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
  ☆239Updated 2 years ago
• NannyML / examples
  A set of examples illustrating some possible use cases for NannyML
  ☆20Updated last year
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• walkwithfastai / walkwithfastai.github.io
  Host for https://walkwithfastai.com
  ☆146Updated last year
• trojrobert / MLOps_roadmap_and_curriculum
  Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…
  ☆183Updated 3 years ago
• lmassaron / deep_learning_for_tabular_data
  An updated (2025) guide to Deep Learning for tabular data, comparing a fine-tuned Keras 3 (PyTorch backend) DNN and an Optuna-optimized…
  ☆46Updated 3 weeks ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 3 years ago
• gradsflow / gradsflow-automl
  An open-source AutoML Library based on PyTorch
  ☆306Updated 2 months ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆162Updated last week
• michaeltremeer / queensland-ai-fastai-course-resources
  Resources (including recap slides and notebooks) to support the Queensland AI & Queensland AI Hub community fast.ai course.
  ☆34Updated 4 years ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆168Updated 11 months ago