deepsensor
NP Model Builder
Provides an interface for building and evaluating neural process models for environmental prediction tasks using Python libraries.
A Python package for tackling diverse environmental prediction tasks with NPs.
97 stars
8 watching
18 forks
Language: Python
last commit: almost 2 years agoLinked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| A toolkit for building and deploying neural network models for natural language processing tasks. | 1,448 | |
| A system for quickly building and applying state-of-the-art deep learning models to new problems | 818 | |
| An open-source framework for adapting representation models to various tasks and industries | 1,743 | |
| Builds neural networks with less boilerplate code by providing a standardized interface for different architectures | 166 | |
| An open-source Python framework for developing machine learning models to predict quantum-mechanical observables of molecular systems. | 78 | |
| A deep learning implementation of an object segmentation algorithm. | 187 | |
| A toolbox for training and applying deep neural networks to predict atomistic properties of molecules and materials | 795 | |
| Automates machine learning model creation and optimization for complex datasets | 1,857 | |
| A Python library for implementing and training various neural network architectures | 40 | |
| A collection of pre-trained natural language processing models | 170 | |
| A large language model designed for research and application in natural language processing tasks. | 887 | |
| A deep learning framework on top of PyTorch for building neural networks. | 61 | |
| A library to create validated dictionaries with flexible data structures and nested models. | 14 | |
| A Python library for building and simulating large-scale neural models | 834 | |
| A PyTorch package implementing multi-task deep neural networks for natural language understanding | 2,238 |