Stars
一些关于目标检测的脚本和改进思路代码，详细请看readme.md
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
[IJCAI 2025] Official implementation of "T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models"
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
FAIR Chemistry's library of machine learning methods for chemistry
Predict materials properties using only the composition information!
A game theoretic approach to explain the output of any machine learning model.
Code for machine learning model prediction of perovskite film and device service lifetimes, and data acquisition scripts and protocols for generation of training datasets
Automatic band gap calculation of arbitrarily many semiconductor deposits from reflectance hypercube using computer vision segmentation.
Machine learning software for rapid analysis of scientific spectra.
spectrai: a deep learning framework for spectral data
Defect analysis modules for pymatgen
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials …
Crystal graph convolutional neural networks for predicting material properties.
Python software for spectral data processing (IR, Raman, XAS...)