GRAAL-Research / poutyne
A simplified framework and utilities for PyTorch
☆571Updated 3 months ago
Alternatives and similar repositories for poutyne:
Users that are interested in poutyne are comparing it to the libraries listed below
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆571Updated 2 years ago
- PyTorch functions and utilities to make your life easier☆195Updated 3 years ago
- torchbearer: A model fitting library for PyTorch☆638Updated last year
- Unit Testing for pytorch, based on mltest☆311Updated 4 years ago
- High-level batteries-included neural network training library for Pytorch☆398Updated 3 years ago
- Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!☆377Updated 2 years ago
- Python library to easily log experiments and parallelize hyperparameter search for neural networks☆734Updated 2 years ago
- A PyTorch implementation of Neighbourhood Components Analysis.☆400Updated 4 years ago
- PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code☆696Updated last year
- Over9000 optimizer☆427Updated 2 years ago
- Web-based dashboard for Sacred☆549Updated 2 years ago
- Implementations of ideas from recent papers☆392Updated 4 years ago
- Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)☆264Updated 4 years ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆328Updated 2 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆510Updated 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
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆474Updated 2 years ago
- A utility library around PyTorch☆244Updated 2 years ago
- Estimates the size of a PyTorch model in memory☆357Updated 4 years ago
- Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.☆335Updated 4 years ago
- A toolset for black-box hyperparameter optimisation.☆136Updated 5 years ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,718Updated last week
- Simple and flexible progress bar for Jupyter Notebook and console☆1,089Updated 6 months ago
- Streaming over lightweight data transformations☆266Updated 3 months ago
- The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflo…☆803Updated 2 years ago
- Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!☆279Updated 3 years ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Updated last year
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆486Updated 4 years ago
- RAdam implemented in Keras & TensorFlow☆325Updated 3 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆705Updated 4 years ago