google / pwlfit
☆38Updated 7 months ago
Alternatives and similar repositories for pwlfit:
Users that are interested in pwlfit are comparing it to the libraries listed below
- Distributed Xarray with Apache Beam☆146Updated last month
- Performant, composable online learning☆15Updated 4 years ago
- Access scipy optimizers from your favorite deep learning framework.☆80Updated last year
- Composable metric reporters in Python.☆13Updated 9 months ago
- Extension to hypothesis for testing numpy general universal functions☆39Updated 3 years ago
- ☆57Updated 4 months ago
- Satellite Optical Flow with machine learning models☆60Updated last year
- Metadata-aware machine learning.☆103Updated 3 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆77Updated last year
- Pytorch implementation of SuperPolyak subgradient method.☆43Updated 2 years ago
- Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch☆14Updated last week
- Documentation:☆119Updated last year
- Convenient hyperparameter optimization☆14Updated 10 months ago
- Efficient matrix representations for working with tabular data☆120Updated this week
- Bayesian Optimization for very Noisy functions☆18Updated 3 years ago
- Implementation of N-Grammer in Flax☆17Updated 2 years ago
- A simple Dataset generator for Moving Mnist☆13Updated last year
- AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks☆27Updated 2 years ago
- NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Au…☆42Updated 4 years ago
- ☆40Updated last year
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 3 years ago
- A modular system for machinable research code☆35Updated 2 months ago
- ☆34Updated last year
- Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.☆21Updated 7 years ago
- Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes☆48Updated 2 years ago
- Comparing sequential forecasters via confidence sequences & e-processes☆10Updated last year
- A visual labeling system implemented in Jupyter widgets.☆11Updated last year
- Recursive Bayesian Estimation (Sequential / Online Inference)☆58Updated 11 months ago
- Process hexagonally sampled data with PyTorch☆90Updated 4 years ago
- A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")☆39Updated 5 years ago