GRAAL-Research / poutyneLinks
A simplified framework and utilities for PyTorch
☆572Updated 4 months ago
Alternatives and similar repositories for poutyne
Users that are interested in poutyne are comparing it to the libraries listed below
Sorting:
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆572Updated 3 years ago
- torchbearer: A model fitting library for PyTorch☆642Updated last year
- Python library to easily log experiments and parallelize hyperparameter search for neural networks☆735Updated 3 years ago
- A PyTorch implementation of Neighbourhood Components Analysis.☆398Updated 5 years ago
- Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)☆286Updated 5 years ago
- Web-based dashboard for Sacred☆549Updated 2 years ago
- Unit Testing for pytorch, based on mltest☆312Updated 4 years ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆329Updated 3 years ago
- Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.☆341Updated 4 years ago
- Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!☆378Updated 2 years ago
- RAdam implemented in Keras & TensorFlow☆326Updated 3 years ago
- High-level batteries-included neural network training library for Pytorch☆401Updated 3 years ago
- PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code☆695Updated 2 years ago
- Live training loss plot in Jupyter Notebook for Keras, PyTorch and others☆1,318Updated 5 months ago
- PyTorch functions and utilities to make your life easier☆194Updated 4 years ago
- Over9000 optimizer☆425Updated 2 years ago
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.☆177Updated 3 years ago
- Simple and flexible progress bar for Jupyter Notebook and console☆1,097Updated last year
- Tuning hyperparams fast with Hyperband☆594Updated 7 years ago
- Testing framework to simplify writing ML unit tests.☆346Updated 5 years ago
- Neural networks training pipeline based on PyTorch☆312Updated 5 years ago
- Interpretability Methods for tf.keras models with Tensorflow 2.x☆1,029Updated last year
- PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and la…☆226Updated 5 years ago
- Streaming over lightweight data transformations☆265Updated 3 months ago
- Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!☆280Updated 2 years ago
- A toolset for black-box hyperparameter optimisation.☆135Updated 5 years ago
- Gradient based Hyperparameter Tuning library in PyTorch☆290Updated 5 years ago
- Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.☆258Updated 3 months ago
- Implementations of ideas from recent papers☆392Updated 4 years ago
- Dashboard for sacred. Monitor and access your past machine learning experiments.☆184Updated 6 years ago