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.
β426Updated last year
Alternatives and similar repositories for ipyplot
Users that are interested in ipyplot are comparing it to the libraries listed below
Sorting:
- Inline data annotator for Jupyter notebooksβ180Updated 3 weeks ago
- π¦ Quickly annotate data from the comfort of your Jupyter notebookβ788Updated last year
- Drift Detection for your PyTorch Modelsβ324Updated 3 years ago
- A simplified framework and utilities for PyTorchβ577Updated 8 months ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networksβ573Updated 3 years ago
- An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to comeβ868Updated last year
- The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorfloβ¦β811Updated 3 years ago
- A JupyterLab extension for displaying dashboards of GPU usage.β667Updated last week
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)β332Updated 3 years ago
- Unit Testing for pytorch, based on mltestβ312Updated 5 years ago
- A PyTorch implementation of Neighbourhood Components Analysis.β400Updated 5 years ago
- scikit-learn cross validators for iterative stratification of multilabel dataβ881Updated last year
- π¦ Quickly annotate data from the comfort of your Jupyter notebookβ280Updated 2 years ago
- PyTorch, TensorFlow, JAX and NumPy β all of them natively using the same codeβ699Updated 2 years ago
- Progress bar for deep learning training iterationsπβ33Updated 6 years ago
- Web-based dashboard for Sacredβ548Updated 2 years ago
- Practical active learning in pythonβ191Updated 3 years ago
- Simple and flexible progress bar for Jupyter Notebook and consoleβ1,097Updated last week
- Experiment tracking, ML developer toolsβ894Updated 8 months ago
- Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!β378Updated 3 years ago
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.β1,468Updated 8 months ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.β1,756Updated last month
- Configuration classes enabling type-safe PyTorch configuration for Hydra appsβ226Updated 3 weeks ago
- A High Level API for Deep Learning in JAXβ477Updated 3 years ago
- Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooksβ1,179Updated 2 weeks ago
- The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAXβ422Updated last year
- Access dict values as attributes (works recursively)β311Updated last year
- A tool to help researchers and product teams understand datasets with the goal of improving data quality, and mitigating fairness and biaβ¦β291Updated 3 years ago
- Reactive python package for managing, creating and visualizing different deep-learning image annotation formatsβ375Updated 2 years ago
- Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvcβ393Updated last year