Ranlot / single-parameter-fit
Real numbers, data science and chaos: How to fit any dataset with a single parameter
☆646Updated 2 years ago
Alternatives and similar repositories for single-parameter-fit:
Users that are interested in single-parameter-fit are comparing it to the libraries listed below
- A PyTorch implementation of Neighbourhood Components Analysis.☆400Updated 4 years ago
- Named Tensor implementation for Torch☆444Updated 2 years ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆571Updated 2 years ago
- A toolset for black-box hyperparameter optimisation.☆136Updated 5 years ago
- Testing framework to simplify writing ML unit tests.☆348Updated 5 years ago
- A cleaner way to build neural networks for PyTorch.☆184Updated 5 years ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆391Updated 11 months ago
- A graph-based functional API for building complex scikit-learn pipelines.☆590Updated 2 years ago
- Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)☆265Updated 4 years ago
- ⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.☆897Updated last month
- PyTorch functions and utilities to make your life easier☆195Updated 4 years ago
- Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.☆1,225Updated 2 weeks ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆887Updated 11 months ago
- A user-centered Python package for differentiable probabilistic inference☆202Updated 4 years ago
- Simple and flexible progress bar for Jupyter Notebook and console☆1,090Updated 7 months ago
- Tricks for Colab power users☆171Updated 5 years ago
- Functional tensors for probabilistic programming☆239Updated last year
- Matplotlib animations made easy☆1,132Updated last year
- Unit Testing for pytorch, based on mltest☆310Updated 4 years ago
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆330Updated last year
- Understanding ML and deep learning through geometry☆157Updated 3 years ago
- A Python toolbox for performing gradient-free optimization☆4,043Updated this week
- A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.☆217Updated 4 years ago
- Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research pap…☆401Updated 5 years ago
- Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François…☆178Updated 3 years ago
- apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…☆504Updated 7 months ago
- An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.☆517Updated this week
- ☆153Updated 4 years ago
- Experimental Global Optimization Algorithm☆482Updated 7 years ago
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆710Updated 3 years ago