Project for filtering stopwords
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Accurate Bayesian sentence tokenizer in Ruby.
- rubynlp
- ruby
- nlp
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
- computational-biology
- bioinformatics
- graph-convolution
- deep-learning
A small machine learning library written in Lisp (Clojure) aimed at providing simple, concise implementations of machine learning techniques and utilities.
- machine-learning
- lisp
- clojure
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 group of neural-network libraries for functional and mainstream languages
- neural-network
- machine-learning
- functional-programming
- javascript
SplineDist: Automated Cell Segmentation with Spline Curves
libsvm go version
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.
🚀 Production-ready AI-friendly Go REST API boilerplate with Clean Architecture, JWT auth, RBAC, PostgreSQL migrations, and highly tested. AI-optimized with built-in guidelines for most used IDEs. Docker hot-reload, Swagger docs, one-command setup. Build production APIs in minutes, not weeks.
Unsupervised Image to Image Translation with Generative Adversarial Networks
- tensorflow
- tensorlayer
- deep-learning
- image-to-image
Image classification of Fungus using ResNet
- resnet
- fungus
- classification
The enriched version of the WebNLG described at INLG 2018
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.
- svm
- regression
- classification
- machine-learning
Ruby Scoring API for PMML
- ruby-gem
- pmml
- random-forest
- classification
A natural language date and time parser for Common Lisp
Go implementation of Count-Min-Log
Turn any web page into an audiobook, works in the background on desktop!
- tts
- text-to-speech
- text2speech
- gdscript
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
Research experiments exploring uncommon quant techniques.
- analysis
- jupyter-notebook
- python
- quant
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.
- asr
- linux
- nvidia
- parakeet
InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.
- deep-learning-library
- dynamic-batching
- nlp
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