matbench-genmetrics
Generative metrics benchmark
Provides standardized benchmarks for evaluating the quality of generative models for crystal structures.
Generative materials benchmarking metrics, inspired by guacamol and CDVAE.
34 stars
1 watching
2 forks
Language: Jupyter Notebook
last commit: 8 months ago
Linked from 1 awesome list
materials-informaticspython
tilde-lab/awesome-materials-informaticsRelated projects:
| Repository | Description | Stars |
|---|---|---|
 materialsproject/matbench | Provides tools and resources for testing machine learning performance on materials science data | 132 |
 benevolentai/guacamol | A Python package for benchmarking generative models in molecular design | 420 |
 gpt-engineer-org/gpte-bench-template | Provides a template for creating an agent to interact with the GPT-Engineer benchmark suite | 5 |
 bowang-lab/scgpt | A Jupyter Notebook-based framework for training and applying generative AI models to single-cell multi-omics data | 1,064 |
 nikolaydubina/go-ml-benchmarks | A benchmarking project comparing performance of different machine learning inference frameworks and models on Go platform | 30 |
 aws-samples/foundation-model-benchmarking-tool | A tool for benchmarking performance and accuracy of generative AI models on various AWS platforms | 210 |
 nvlabs/edm | This project provides a set of tools and techniques to design and improve diffusion-based generative models. | 1,447 |
 pku-yuangroup/chronomagic-bench | Provides a benchmarking framework for evaluating the quality of text-to-video generation models | 191 |
 gperfutils/gbench | A benchmarking tool for evaluating the performance of Groovy-based programs | 28 |
 sheffieldml/gpmat | A Matlab toolbox providing implementations of Gaussian processes and other machine learning tools. | 135 |
 ermongroup/bgm | Provides an implementation of boosted generative models using Python | 20 |
 glample/rnn-benchmarks | This project provides benchmarking results comparing various deep learning RNN implementations across different frameworks. | 169 |
 mazhar-ansari-ardeh/benchmarkfcns | Provides benchmarking functions for mathematical optimization algorithms | 67 |
 genai-impact/ecologits | Tracks energy consumption and environmental impacts of generative AI models through APIs | 103 |
 bodigrim/tasty-bench | A lightweight benchmarking framework with a simple statistical model | 80 |