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1,417–1,440 of 1,748 · Most stars

PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).

  • deep-generative-model
  • deep-learning
  • single-cell-data-integration
  • single-cell-multiomics

MAT is library for working with multi-dimensional arrays which supports efficient interfacing to foreign and CUDA code. BLAS and CUBLAS bindings are available.

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

Redspot is an Substrate pallet-contracts (ink!) development environment. Compile your contracts and run them on a different networks. Redspot's core forks from Hardhat but changed a lot to suit substrate.

Read and write Excel (.xlsx, .xls), CSV, and ODS files in Java with one line of code. Annotation-based mapping, SAX streaming, built-in validation, 19 type converters, cell styling. A high-performance alternative to Apache POI.

  • annotation
  • apache-poi
  • csv
  • data-processing