Kun-peng: an ultra-fast, low-memory footprint and accurate taxonomy classifier for all
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Updated
Jul 1, 2024 - Rust
Kun-peng: an ultra-fast, low-memory footprint and accurate taxonomy classifier for all
A model for predicting short antimicrobial peptides (length <=30 residues) using multiple features and deep learning approaches
This is a repository with the assignments of IE678 Deep Learning course at University of Mannheim.
Saccharomyces cerevisiae information, gene calling and ORF identification assistant
Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.
CLANS 2.0 is a Python-based program for clustering sequences in the 2D or 3D space, based on their sequence similarities. CLANS visualizes the dynamic clustering process and enables the user to interactively control it and explore the cluster map in various ways.
A Simple but Powerful SOTA NER Model | Official Code For Label Supervised LLaMA Finetuning
nf-core/phyloplace is a bioinformatics best-practice analysis pipeline that performs phylogenetic placement with EPA-NG.
Developed system for the "Climate Activism Stance and Hate Event Detection" Shared Task at CASE 2024
Retrieve annotated intron sequences and classify them as minor (U12-type) or major (U2-type) using a support vector-machine model.
Predict intent from user queries
bullet: A Zero-Shot / Few-Shot Learning, LLM Based, text classification framework
A useful repository for calculating classification baselines using Bert
Implementation of BERT for sequence classification with Hugging face's transformers.
Fine-tuning CamemBERT for French keywords extraction on custom dataset.
NLP model that predicts subreddit based on the title of a post
Multilabel Text Sequence Classification
Applied Deep Learning 深度學習之應用 by Vivian Chen 陳縕儂 at NTU CSIE
Submission for SemEval 2023 Task 10 EDOS
Bioinformatics 2020: FastSK: Fast and Accurate Sequence Classification by making gkm-svm faster and scalable. https://fastsk.readthedocs.io/en/master/
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