gdikov / hypertunityLinks
A toolset for black-box hyperparameter optimisation.
☆136Updated 6 years ago
Alternatives and similar repositories for hypertunity
Users that are interested in hypertunity are comparing it to the libraries listed below
Sorting:
- Measure and visualize machine learning model performance without the usual boilerplate.☆99Updated last year
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.☆177Updated 3 years ago
- Experiment orchestration☆103Updated 5 years ago
- PyTorch functions and utilities to make your life easier☆195Updated 4 years ago
- A cleaner way to build neural networks for PyTorch.☆183Updated 6 years ago
- An automatic ML model optimization tool.☆199Updated 3 years ago
- A PyTorch implementation of Neighbourhood Components Analysis.☆400Updated 5 years ago
- A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.☆219Updated 5 years ago
- Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.☆344Updated 5 years ago
- fastai V2 implementation of Timeseries classification papers.☆242Updated 3 years ago
- An ML framework to accelerate research and its path to production.☆269Updated last year
- Better, faster hyper-parameter optimization☆113Updated 2 years ago
- Practical active learning in python☆191Updated 3 years ago
- AI/ML citation graph with postgres + graphql☆189Updated 5 years ago
- General Interpretability Package☆58Updated 3 years ago
- Python implementation of GLN in different frameworks☆96Updated 5 years ago
- Configure Python functions explicitly and safely☆128Updated last year
- ⏸ Parallelized hyper-param optimization with validation set, not crossval☆91Updated 3 years ago
- ☆64Updated 7 years ago
- NeuralPy: A Keras like deep learning library works on top of PyTorch☆79Updated last year
- ☆70Updated 5 years ago
- Fit your tensorflow model using fastai and PyTorch☆90Updated 6 years ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆572Updated 3 years ago
- Streamlined machine learning experiment management.☆108Updated 5 years ago
- Docs☆143Updated last year
- A fast way to turn your python function into a script☆164Updated 3 years ago
- RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, a…☆261Updated 2 years ago
- To Run, Manage and Visualize Large Scale Experiments☆172Updated 2 years ago
- A user-centered Python package for differentiable probabilistic inference☆203Updated 5 years ago
- Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.☆95Updated last year