blue-season / pywarmLinks
A cleaner way to build neural networks for PyTorch.
☆184Updated 5 years ago
Alternatives and similar repositories for pywarm
Users that are interested in pywarm are comparing it to the libraries listed below
Sorting:
- PyTorch functions and utilities to make your life easier☆195Updated 4 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
- A toolset for black-box hyperparameter optimisation.☆136Updated 5 years ago
- Tricks for Colab power users☆168Updated 5 years ago
- Pure Python dashboard for monitoring deep learning experiments (like TensorBoard for PyTorch/JAX/etc, without a browser)☆95Updated 3 years ago
- Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)☆367Updated 6 months ago
- A user-centered Python package for differentiable probabilistic inference☆202Updated 4 years ago
- Equi-normalization of Neural Networks☆115Updated 6 years ago
- Streamlined machine learning experiment management.☆107Updated 5 years ago
- Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.☆110Updated 6 months ago
- Configure Python functions explicitly and safely☆126Updated 7 months ago
- a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout…☆128Updated 2 years ago
- Experiment orchestration☆103Updated 5 years ago
- A fast way to turn your python function into a script☆164Updated 3 years ago
- Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)☆266Updated 5 years ago
- Experiment tracking for machine and deep learning projects☆128Updated last year
- Neural networks training pipeline based on PyTorch☆312Updated 5 years ago
- A high-level, rapid development framework for machine learning projects☆344Updated last year
- An ML framework to accelerate research and its path to production.☆266Updated 10 months ago
- Deep Learning Projects that Build Themselves☆360Updated 6 years ago
- Testing framework to simplify writing ML unit tests.☆347Updated 5 years ago
- An automatic ML model optimization tool.☆200Updated 2 years ago
- Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.☆94Updated last year
- Named Tensor implementation for Torch☆445Updated 2 years ago
- A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.☆218Updated 4 years ago
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.☆177Updated 3 years ago
- ☆113Updated 2 years ago
- Python implementation of GLN in different frameworks☆97Updated 4 years ago
- AI/ML citation graph with postgres + graphql☆188Updated 5 years ago
- Lightweight, Python library for fast and reproducible experimentation☆136Updated 6 years ago