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Tags: Machine learning
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1,369–1,392 of 1,650 · 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

A Go package for n-gram based text categorization, with support for utf-8 and raw text

A multilayer perceptron network implemented in Go, with training via backpropagation.

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.

A flexible and general-purpose ngrams library written in Ruby. Raingrams supports ngram sizes greater than 1, text/non-text grams, multiple parsing styles and open/closed vocabulary models.

  • ruby
  • ngrams

Push-to-talk voice dictation for Linux. 100% local, multilingual (25+ languages), with speaker diarization. Qt frontend, Rust backend on NVIDIA Parakeet via ONNX Runtime. KDE Plasmoid integrated.

InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.

  • deep-learning-library
  • dynamic-batching
  • nlp