karolzak / ipyplotLinks
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.
β424Updated last year
Alternatives and similar repositories for ipyplot
Users that are interested in ipyplot are comparing it to the libraries listed below
Sorting:
- π¦ Quickly annotate data from the comfort of your Jupyter notebookβ786Updated last year
- Inline data annotator for Jupyter notebooksβ180Updated 2 years ago
- A PyTorch implementation of Neighbourhood Components Analysis.β398Updated 4 years ago
- A simplified framework and utilities for PyTorchβ574Updated 3 months ago
- scikit-learn cross validators for iterative stratification of multilabel dataβ875Updated 9 months ago
- An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to comeβ861Updated 8 months ago
- Drift Detection for your PyTorch Modelsβ318Updated 2 years ago
- PyTorch, TensorFlow, JAX and NumPy β all of them natively using the same codeβ696Updated 2 years ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networksβ571Updated 3 years ago
- π¦ Quickly annotate data from the comfort of your Jupyter notebookβ278Updated 2 years ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)β330Updated 3 years ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.β1,735Updated this week
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.β1,438Updated 3 months ago
- Black formatter for Jupyter Notebookβ439Updated 5 years ago
- A learning rate range test implementation in PyTorchβ976Updated last month
- Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)β287Updated 5 years ago
- Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!β377Updated 2 years ago
- The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorfloβ¦β810Updated 3 years ago
- Practical active learning in pythonβ190Updated 2 years ago
- Access dict values as attributes (works recursively)β301Updated last year
- Web-based dashboard for Sacredβ549Updated 2 years ago
- Over9000 optimizerβ426Updated 2 years ago
- Parallel processing with progress barsβ484Updated last year
- AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - β¦β207Updated 3 years ago
- Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.β322Updated 2 years ago
- A JupyterLab extension for displaying dashboards of GPU usage.β652Updated 3 weeks ago
- Experiment tracking, ML developer toolsβ885Updated 3 months ago
- A simple extension for Jupyter Notebook and Jupyter Lab to beautify Python code automatically using black.β367Updated 2 years ago
- Configuration classes enabling type-safe PyTorch configuration for Hydra appsβ221Updated 2 years ago
- Reactive python package for managing, creating and visualizing different deep-learning image annotation formatsβ369Updated last year