techthiyanes Goto Github PK

sentence-transformers-tensorflow

senteval

A python tool for evaluating the quality of sentence embeddings.

sentilare

Codes for our paper "SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge" (EMNLP 2020)

seq2seq-speech

Repository for fine-tuning Transformers 🤗 based seq2seq speech models in JAX/Flax.

seq2seq-summarizer

Pointer-generator reinforced seq2seq summarization in PyTorch

seq2seq_tutorial

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

seq2seqlm-on-question-generation

seqattack

A framework for adversarial attacks against token classification models

seqeval

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

seqio

Task-based datasets, preprocessing, and evaluation for sequence models.

sequence-labeling-bilstm-crf

The classical BiLSTM-CRF model implemented in Tensorflow, for sequence labeling tasks. In Vex version, everything is configurable.

sequence-labeling-with-transformers

Examples for aligning, padding and batching sequence labeling data (NER) for use with pre-trained transformer models

sequence_tagging

using bilstm-crf,bert and other methods to do sequence tagging task

serab-byols

(Hybrid) BYOL-S feature extractor using serab-byols package in pytorch.

seretod2022

A challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Systems, Co-located with EMNLP2022 SereTOD Workshop

setfit

setfit-1

Official repository for SetFit

setfit-few-shot-classification-sample

sew

shap

A game theoretic approach to explain the output of any machine learning model.

shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

shapash

🔅 Shapash makes Machine Learning models transparent and understandable by everyone

shark-attacks

sharpdarts

sharpDARTS: Faster and More Accurate Differentiable Architecture Search

shift-happens

Research code for ML with distribution shift

shot

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

sick_nl

A translation of the SICK dataset, for evaluating relatedness and entailment models for Dutch

sifigan

Official implementation of the source-filter HiFiGAN vocoder

sifrank

The code of our paper "SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model"

sifrank_zh

Keyphrase or Keyword Extraction 基于预训练模型的中文关键词抽取方法（论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码）