Alternatives and similar repositories for pybase:

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

• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆207Updated 3 years ago
• miguelgfierro / codebase
  Code base for programming projects
  ☆55Updated 2 weeks ago
• DanielhCarranza / ml-production-template
  This codebase is a starting point to get your Machine Learning project into Production.
  ☆43Updated 4 years ago
• arnabbiswas1 / kaggle_pipeline_tps_aug_22
  Kaggle Pipeline for tabular data competitions
  ☆204Updated 7 months ago
• abhishekkrthakur / commonlit-pairwise-model
  Pairwise model for commonlit competition
  ☆46Updated 3 years ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 3 years ago
• jacopotagliabue / FREE_7773
  Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).
  ☆96Updated 2 years ago
• brohrer / taming_matplotlib
  Tutorials for getting the most out of Matplotlib
  ☆22Updated 4 years ago
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆269Updated 3 years ago
• shreyashankar / debugging-ml-talk
  Code accompanying the "Debugging machine learning in production" talk
  ☆29Updated 2 years ago
• fastai / fastai3
  Research repo for code that may or may not end up in fastai3
  ☆50Updated 3 years ago
• kartik4949 / TensorPipe
  High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.
  ☆86Updated 2 years ago
• amitness / fns
  Collection of simple functions reusable across ML projects.
  ☆20Updated 3 years ago
• chiphuyen / metaflow-transformers-tutorials
  Metaflow tutorials for ODSC West 2021
  ☆64Updated 3 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆113Updated last year
• nazneenrajani / interpreting-ml-models-course
  Course for Interpreting ML Models
  ☆52Updated 2 years ago
• Machine-Learning-Tokyo / MLT_Talks
  Slides, videos and other resources from MLT Talks
  ☆108Updated 4 years ago
• the-full-stack / conda-piptools
  Quick demo of setting up a deep learning Python environment using conda and pip-tools.
  ☆38Updated 4 years ago
• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆275Updated 3 years ago
• khalidsaifullaah / BERTify
  An easy-to-use Python module that helps you to extract the BERT embeddings for a large text dataset (Bengali/English) efficiently.
  ☆36Updated last year
• backpropagation64 / mle-interview-questions
  Interview Questions and Answers for Machine Learning Engineer role
  ☆118Updated 2 years ago
• GokuMohandas / feature-store
  Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
  ☆55Updated 2 years ago
• shaz13 / katana
  Katana project is a FastAPI template for ASAP 🚀 ML API deployment
  ☆111Updated last year
• Yard1 / ray-skorch
  Distributed skorch on Ray Train
  ☆57Updated 2 years ago
• gradsflow / gradsflow-automl
  An open-source AutoML Library based on PyTorch
  ☆306Updated last month
• wandb / Groundbreaking-Papers
  ML Research paper summaries, annotated papers and implementation walkthroughs
  ☆114Updated 2 years ago
• abhishekkrthakur / ml_dev_env
  Machine Learning / Deep Learning Environment. Everywhere. Anywhere.
  ☆50Updated 4 years ago
• benjamin-du / fastpractice
  Exercises for FastAI v2
  ☆19Updated 4 years ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆179Updated 7 months ago
• Bellman281 / Stat4ML
  Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP
  ☆82Updated 2 years ago