exojax
Spectrum modeling toolkit
An open-source software framework that enables gradient-based optimizations and Bayesian inference for exoplanet spectrum modeling using JAX
🐈 Automatic differentiable spectrum modeling of exoplanets/brown dwarfs using JAX, compatible with NumPyro and JAXopt
57 stars
4 watching
14 forks
Language: Jupyter Notebook
last commit: 2 months ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| Provides a low-level interface to Gaussian process models in JAX for flexible extension and customisation | 467 |
| A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
| A set of composable kernels for scikit-learn implemented in JAX to accelerate computation and gradient calculation. | 42 |
| A toolkit for building and training semantic segmentation models using PyTorch. | 1,408 |
| Serialization of JAX, Flax, Haiku, or Objax model parameters using a safer alternative to pickle. | 42 |
| A Java binding for an immediate mode graphical user interface toolkit written in C. | 69 |
| Tools and functions for modeling species distributions and niches using spatial data analysis | 25 |
| A Python library for differentiable cosmology using automatic differentiation on GPUs | 182 |
| A toolkit for training efficient neural network language models on large datasets with hierarchical softmax and noise contrastive estimation. | 560 |
| A Julia-based toolkit for graph-based molecule modeling and chemoinformatics analysis | 202 |
| A toolkit providing various datasets and utilities for autonomous driving research and development | 571 |
| An interactive GUI tool to annotate COCO-style JSON Polygon masks and bounding boxes. | 144 |
| A collection of machine learning models and tools for real-time time series data analytics and anomaly detection | 168 |
| Software library for inverse modeling of subsurface systems using geostatistical methods | 24 |
| A collection of tools for working with astronomical data from various sources. | 63 |