karolzak / ipyplot
IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.
☆422Updated 9 months ago
Alternatives and similar repositories for ipyplot:
Users that are interested in ipyplot are comparing it to the libraries listed below
- Inline data annotator for Jupyter notebooks☆178Updated 2 years ago
- An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come☆856Updated 4 months ago
- A simple extension for Jupyter Notebook and Jupyter Lab to beautify Python code automatically using black.☆367Updated last year
- Practical active learning in python☆189Updated 2 years ago
- Unit Testing for pytorch, based on mltest☆310Updated 4 years ago
- 🐦 Quickly annotate data from the comfort of your Jupyter notebook☆784Updated last year
- A simplified framework and utilities for PyTorch☆572Updated 4 months ago
- Black formatter for Jupyter Notebook☆439Updated 5 years ago
- A JupyterLab plugin to facilitate invocation of code formatters.☆877Updated 7 months ago
- Spit shine for Jupyter notebooks 🧽✨☆533Updated last year
- My repo for training neural nets using pytorch-lightning and hydra☆219Updated last month
- A Jupyter widget for annotating images with bounding boxes☆124Updated 7 months ago
- Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!☆377Updated 2 years ago
- Minimum-distortion embedding with PyTorch☆545Updated last year
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆571Updated 2 years ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆329Updated 2 years ago
- Drift Detection for your PyTorch Models☆316Updated 2 years ago
- Template for nbdev projects☆312Updated 2 years ago
- A JupyterLab extension for displaying dashboards of GPU usage.☆640Updated last week
- scikit-learn cross validators for iterative stratification of multilabel data☆862Updated 6 months ago
- The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX☆417Updated last year
- PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code☆696Updated 2 years ago
- Tensorboard extension for jupyterlab.☆316Updated 2 years ago
- Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)☆287Updated 4 years ago
- A High Level API for Deep Learning in JAX☆474Updated 2 years ago
- Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.☆320Updated 2 years ago
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.☆1,426Updated 8 months ago
- Progress bar for deep learning training iterations💈☆34Updated 6 years ago
- Doubt your data, find bad labels.☆510Updated 9 months ago
- 💫 PyScaffold extension for data-science projects☆158Updated 2 weeks ago