palaimon / ipyannotatorLinks
the infinitely hackable annotation framework
☆36Updated 2 years ago
Alternatives and similar repositories for ipyannotator
Users that are interested in ipyannotator are comparing it to the libraries listed below
Sorting:
- Streamlit component for the Yellowbrick visualization and model diagnostics library☆12Updated 4 years ago
- dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.☆59Updated 4 years ago
- IPython magic for parallel profiling (like `%time`, but parallel)☆72Updated 8 years ago
- Call Jupyter notebooks as Python functions☆56Updated 10 months ago
- A `select` accessor for easier subsetting of pandas DataFrames and Series☆34Updated 2 years ago
- Twitter Discovery: Search articles referenced in your tweets, retweets, and favorites☆16Updated 5 years ago
- Vectorizers for a range of different data types☆103Updated 3 weeks ago
- A proof of concept library for generating and running machine learning model tests☆13Updated 5 years ago
- Functions for easily making publication-quality figures with matplotlib.☆19Updated last year
- A Zoo for decorators☆26Updated last week
- Generate beautiful, testable documentation with Jupyter Notebooks☆21Updated 3 years ago
- A pedagogical implementation of panel apps served up on a remote machine.☆14Updated 4 years ago
- Pipeline components that support partial_fit.☆46Updated last year
- 💫 PyScaffold extension for data-science projects☆158Updated 3 weeks ago
- Tool to merge environment files of the conda package manager☆58Updated 11 months ago
- A selection of statistical graphics for vega in python, based on altair.☆102Updated 2 years ago
- GitHub Action for testing notebooks☆151Updated 4 years ago
- Altair backend for pandas plotting☆104Updated 4 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 4 years ago
- [ARCHIVED] Dask support for multi-GPU machine learning algorithms --> Moved to cuml☆16Updated 6 years ago
- Lightweight, intuitive and fast data-tables.☆43Updated 6 years ago
- Make data labeling easy with Jupyter notebooks and Google Sheets!☆27Updated 6 years ago
- A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…☆57Updated 4 years ago
- Comparing Polars to Pandas and a small introduction☆44Updated 4 years ago
- Extension to hypothesis for testing numpy general universal functions☆38Updated 4 years ago
- A Python library for creating adversarial splits☆14Updated 3 years ago
- Decorators that logs stats.☆115Updated 8 months ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆86Updated last year
- Super lightweight function registries for your library☆180Updated last year
- Tools for making Prefect work better for typical data science workflows☆18Updated 3 years ago