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seqeval

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

serving

A flexible, high-performance serving system for machine learning models

simcse

SimCSE: Simple Contrastive Learning of Sentence Embeddings

singlecelldb

An actionable database of publicly available single-cell RNA-seq data

survivalnet

Deep learning survival models

swirl_courses

:mortar_board: A collection of interactive courses for the swirl R package.

tape

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

test1

texthero

Text preprocessing, representation and visualization from zero to hero.

tip_payment_figures

tnbc_scrnaseq

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

transformer-word-segmenter

Sequence labeling base on universal transformer (Transformer encoder) and CRF; 基于Universal Transformer + CRF 的中文分词和词性标注

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

unsupervised-classification

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

variationanalysis

This repository holds the companion project to Goby3, used to train and evaluate deep learning models to call variations. This repository contains the Matcha framework to help train and evaluate deep learning models trained with semi-simulation. See docs below for details.

viral-mutation

Language modeling of viral evolution

vvp-pub

VVP (VAAST Variant Prioritizer) rapidly prioritizes genetic variants

word_cloud

词云生成