ideonate / jupyter-innotaterLinks
Inline data annotator for Jupyter notebooks
☆179Updated 2 years ago
Alternatives and similar repositories for jupyter-innotater
Users that are interested in jupyter-innotater are comparing it to the libraries listed below
Sorting:
- Jupyter Widget for data annotation☆139Updated 2 years ago
- Practical active learning in python☆189Updated 2 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆97Updated 9 months ago
- Code you can use jointly with fastai☆93Updated 4 years ago
- Fit your tensorflow model using fastai and PyTorch☆91Updated 5 years ago
- IceData: Datasets Hub for the *IceVision* Framework☆49Updated 3 years ago
- ☆27Updated 6 years ago
- Deploy mlflow with docker-compose☆71Updated 4 years ago
- ☆194Updated 5 years ago
- PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and la…☆226Updated 5 years ago
- 🐦 Quickly annotate data from the comfort of your Jupyter notebook☆278Updated 2 years ago
- A collection of inference modules for fastai2☆90Updated 2 years ago
- A Docker image for serving fast.ai models, mimicking the API of Tensorflow Serving☆122Updated 5 years ago
- A simple wrapper over `pydot` and `graphviz` which fixes some sharp edges☆63Updated 2 years ago
- TF2.0 port for Augmix paper☆79Updated 5 years ago
- https://www.kaggle.com/c/recursion-cellular-image-classification☆40Updated 2 years ago
- Comparing PyTorch Catalyst, Ignite, Lightning by sample code☆20Updated 2 years ago
- ☆161Updated 3 years ago
- A fast way to turn your python function into a script☆164Updated 3 years ago
- NeuralPy: A Keras like deep learning library works on top of PyTorch☆79Updated last year
- Keras callbacks for one-cycle training, cyclic learning rate (CLR) training, and learning rate range test.☆47Updated 6 years ago
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.☆177Updated 3 years ago
- Tutorial for a new versioning Machine Learning pipeline☆80Updated 3 years ago
- Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)☆287Updated 4 years ago
- Streaming over lightweight data transformations☆265Updated 3 weeks ago
- Super lightweight function registries for your library☆179Updated last year
- A PyTorch implementation of Neighbourhood Components Analysis.☆400Updated 4 years ago
- A Python package to allow fastai to run on TPUs using Pytorch-XLA☆36Updated 2 years ago
- Wheat Detection challenge on Kaggle☆86Updated last year
- A lightweight python library that helps to keep track of numerical experiments☆115Updated 4 years ago