Reverse Dependencies of seqeval

The following projects have a declared dependency on seqeval:

• accord-nlp — ACCORD-NLP: Transformer/language model-based information extraction from regulatory text
• active-transformers — Active Learning for Transformer with focus on Sequence Tagging tasks
• adaptnlp — An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
• adaseq — AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
• alexandra-ai-eval — Evaluation of finetuned models.
• anago — Sequence labeling library using Keras.
• anago-py367 — Sequence labeling library using Keras. It is noted that this version has light modification by sonvx to run on Python3.7
• argilla — Open-source tool for exploring, labeling, and monitoring data for NLP projects.
• arkab — DeepLearning Toolkit for myself
• autogluon.multimodal — Fast and Accurate ML in 3 Lines of Code
• autogluon-tonyhu-test.multimodal — AutoML for Image, Text, and Tabular Data
• autotrain-advanced — no summary
• autotransformers — a Python package for automatic training and benchmarking of Language Models.
• azureml-acft-contrib-hf-diffusion — Contains the acft nlp-hf-contrib package used in script to build azureml components.
• azureml-acft-contrib-hf-nlp — Contains the acft nlp-hf-contrib package used in script to build azureml components.
• azureml-automl-dnn-nlp — End to end deep learning models for NLP tasks in AutoML.
• azureml-metrics — Contains the ML and non-Azure specific common code associated with AzureML metrics.
• bent — BENT: Biomedical Entity Annotator
• bunkai — Sentence boundary disambiguation tool for Japanese texts
• chrisbase — A base tool for python programming.
• CLaF — CLaF: Clova Language Framework
• clarinpl-embeddings — no summary
• classy-core — A powerful tool to train and use your classification models.
• cnlp-transformers — Transformers for Clinical NLP
• daisybell — Scan AI models for problems
• daluke — A Danish-speaking language model with entity-aware self-attention
• danoliterate — Benchmark of Generative Large Language Models in Danish
• datalabs — Datalabs
• dataquality — no summary
• datasets — HuggingFace community-driven open-source library of datasets
• DeBERTa — Decoding enhanced BERT with Disentangled Attention
• deepke — DeepKE is a knowledge extraction toolkit for knowledge graph construction supporting low-resource, document-level and multimodal scenarios for entity, relation and attribute extraction.
• deepoffense — Multilingual Offensive Language Identification with Transformers
• delta-nlp — DELTA is a deep learning based natural language and speech processing platform.
• DLTKDL — DLTKDL is a wrapper for TensorFlow and Keras that makes deep learning and AI more accessible and easier to apply
• docai-py — Butler Doc AI
• domino-code-assist — no summary
• dragon-baseline — Baseline training algorithm for the DRAGON Challenge
• dragon-eval — Evaluation method for the DRAGON benchmark
• eis1600 — EIS1600 project tools and utilities
• evaluate — HuggingFace community-driven open-source library of evaluation
• explainaboard — Explainable Leaderboards for Natural Language Processing
• faktotum — Extracting information from unstructured text.
• fancy-nlp — NLP for humans
• Farm — Framework for finetuning and evaluating transformer based language models
• farm-haystack — LLM framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data.
• fast-bert — AI Library using BERT
• fast-bert-no-plot — AI Library using BERT
• fast-bert-xrendan — AI Library using BERT
• fast-token-classifier — no summary
• fastner — Finetune transformer-based models for the Named Entity Recognition task in a simple and fast way.
• finer — no summary
• finetune-eval-harness — Finetune_Eval_Harness
• FLAML — A fast library for automated machine learning and tuning
• g-zhpr — no summary
• Gao-Anime — AI Head
• general-text-classifier — General Text Classification Library
• genienlp — no summary
• gft — GFT (general fine-tuning) A Little Language for Deepnets: 1-line programs for fine-tuning, inference and more
• gft-cpu — GFT (general fine-tuning) A Little Language for Deepnets: 1-line programs for fine-tuning, inference and more
• gliner — Generalist model for NER (Extract any entity types from texts)
• hate-spans — Toxic Spans Prediction
• hatespans — Toxic Spans Prediction
• hetseq — Distributed GPU Training on Heterogeneous Infrastructureg
• hezar — Hezar: The all-in-one AI library for Persian, supporting a wide variety of tasks and modalities!
• integral_deid — PHI taggging and redaction
• interpret-eval — Interpretable Evaluation for Natural Language Processing
• iob2 — A library for manipulating, loading, and saving corpus in iob2 format.
• iqradre — no summary
• ivystar — python tools package of ivystar
• jac-nlp — no summary
• jaseci-ai-kit — no summary
• jaseci-kit — no summary
• jiant — State-of-the-art Natural Language Processing toolkit for multi-task and transfer learning built on PyTorch.
• jury — Evaluation toolkit for neural language generation.
• kashgari-tf — Simple, Keras-powered multilingual NLP framework, allows you to build your models in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS) and text classification tasks. Includes BERT, GPT-2 and word2vec embedding.
• kazu — Biomedical Named Entity Recognition and Entity Linking for Enterprise use cases
• koai — Korean AI Project
• kobert4ner — KoBERT for NER(Named Entity Recognition)
• langml — A Keras-based and TensorFlow-backend language model toolkit.
• luie — no summary
• medkit-lib — A Python library for a learning health system
• mindocr — A toolbox of OCR models and algorithms based on MindSpore.
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• mudes — Toxic Spans Prediction
• musket-text — Text support for Musket ML
• naimai — Python library to help with scientific literature research
• neraug — Data augmentation tool for named entity recognition
• nerblackbox — a high-level library for named entity recognition in python
• nessie — Annotation error detection and correction
• nlp-architect — Intel AI Lab NLP and NLU research model library
• nlp-basictasks — a simple framework that can quickly build some basic NLP tasks
• nlp-nn — NLP NN Framework
• nlpboost — A package for automatic training of NLP (transformers) models
• nlptoolssna — Python Boilerplate contains all the boilerplate you need to create a Python package.
• nlptooltest — no summary
• nmatheg — no summary
• nurphy — A deep learning based natural language understanding module
• ohmeow-blurr — A library designed for fastai developers who want to train and deploy Hugging Face transformers
• omdenalore — AI for Good library