Reverse Dependencies of transformers

The following projects have a declared dependency on transformers:

• autora-doc — Automatic documentation generator from AutoRA code
• AutoRAG — Automatically Evaluate RAG pipelines with your own data. Find optimal structure for new RAG product.
• autordf2gml — AutoRDF2GML: A Framework for Transforming RDF Data into Graph Representations for Graph Machine Learning.
• autoscriber — Python library for the autoscriber summarizer.
• autotrain-advanced — no summary
• autotrain-llm — autotrain_llm
• autotrain-vision — Automate the manual labelling and training for supervised models, YOLOv8
• autotransformers — a Python package for automatic training and benchmarking of Language Models.
• autoxx — LLM-based autonomous agent
• autrainer — A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks.
• avi-mmdet — Custom OpenMMLab Detection Toolbox and Benchmark
• avr — AVR is a voice anti-spoofing system that uses deep learning models to detect spoofed audio files.
• awca — A toolkit for making ancient world citation analysis, text summarization, paraphrasing and OCR for PDF to CSV
• awessome — awessome
• awq-cli — Command-line interface for AutoAWQ
• aws-fortuna — A Library for Uncertainty Quantification.
• aws-rag-bot — no summary
• awsa — AISAK-O agent for information collection and summary.
• axlearn — AXLearn
• AxlNLP — my nlp tools
• axolotl — LLM Trainer
• azureml-acft-accelerator — Contains the acft accelerator package used in script to build the azureml components.
• azureml-acft-image-components — Contains the code for vision model's components.
• azureml-automl-dnn-nlp — End to end deep learning models for NLP tasks in AutoML.
• azureml-evaluate-mlflow — Contains the integration code of AzureML Evaluate with Mlflow.
• azureml-metrics — Contains the ML and non-Azure specific common code associated with AzureML metrics.
• baal — Library to enable Bayesian active learning in your research or labeling work.
• babeltalk — Default template for PDM package
• babylon-sts — A powerful library for audio processing with advanced features for speech recognition, text translation, and speech synthesis.
• babymmlu — Sample implementation of babymmlu benchmark
• babyvec — Natural language embedding tools
• backprop — Backprop
• BahnarTextAugmentation — Bahnar Text Augmentation
• balm-antibody — BALM: Baseline Antibody Language Model
• bampe-weights — An alternative approach to building foundational generative AI models with visualizations using Blender
• band — BERT Application
• banglanlptoolkit — Toolkits for text processing and augmentation for Bangla NLP
• BanglaSpeech2Text — An open-source offline speech-to-text package for Bangla language.
• bardi — A flexible machine learning data pre-processing pipeline framework.
• bark — Bark text to audio model
• bartbroere-eland — [Development fork!] Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
• basaran — Open-source alternative to the OpenAI text completion API
• batch-inference — Batch Inference
• bayesian-lora — Bayesian LoRA adapters for Language Models
• BCEmbedding — A text embedding model and reranking model produced by Netease Youdao Inc., which can be use for dense embedding retrieval and reranking in RAG workflow.
• bcqa — A Benchmark for Complex Heterogeneous Question answering
• bdci — Bjontegaard Delta Confidence Interval
• bdi-kit — bdi-kit library
• be-great — Generating Realistic Tabular Data using Large Language Models
• be-great-v — (A Fork)Generating Realistic Tabular Data using Large Language Models
• beam-ds — Beam Datascience package
• beatcraft — While you are focus on the game logic, BeatCraft help you to make an authentic music for your game
• bechdelai — Automating the Bechdel test and its variants for feminine representation in movies with AI
• beir-qdrant — Qdrant integration with BEIR, simplifying quality checks on standard datasets
• beit3-gml — Package for beit3, part of UniLM by Microsoft, customized for GML tasks
• bellek — My digital memory
• bellow — Implements a pushbutton interface to the Whisper transformer using a global hotkey
• belt-nlp — BELT (BERT For Longer Texts). BERT-based text classification model for processing texts longer than 512 tokens.
• benchformer — Transformers Language Models benchmarking tool
• bent — BENT: Biomedical Entity Annotator
• bert-classifier — Transformers based NLP classification models
• bert-deid — Remove identifiers from data using BERT
• bert-embeddings — Create positional embeddings based on TinyBERT or similar bert models
• bert-extractive-summarizer — Extractive Text Summarization with BERT
• bert-fine-tuning-text-classifier-lux — A library that leverages pre-trained BERT models for multilingual text classification (French, German, English, and Luxembourgish) with easy-to-use fine-tuning capabilities.
• bert-for-sequence-classification — Easy fine-tuning for BERT models
• bert-g2p — BERT with G2P
• bert-local — PyPI Package for Circles Local Google Bert Python
• bert-multitask-learning — BERT for Multi-task Learning
• bert-pruners — Pruning BERT models + magnitude pruning + onnx export
• bert-score — PyTorch implementation of BERT score
• bert-score-flex-plot-example — An unofficial fork of PyTorch implementation of BERT score
• bert-squeeze — Tools for Transformers compression using PyTorch Lightning
• bert-summarizer — Text Summarization Library based on transformers
• bert-text-classifier — Train modern text classification models in just a few lines
• bert-token-tagger — no summary
• bertagent — Quantify linguistic agency in textual data.
• BertCC — A context-aware Simplified to Traditional Chinese converter using BERT
• berteome — A library to analyze and explore protein sequences using BERT models
• BERTLocRNA — Predicting RNA localization based on RBP binding information in BERT architecture
• bertmoticon — multilingual emoji prediction
• bertnlp — BERT toolkit is a Python package that performs various NLP tasks using Bidirectional Encoder Representations from Transformers (BERT) related models.
• bertopic — BERTopic performs topic Modeling with state-of-the-art transformer models.
• bertserini — An end-to-end Open-Domain question answering system
• bertserini-on-telegram — A library, based on PyTorch, that implements bertserini code.
• BERTSimilar — Get Similar Words and Embeddings using BERT Models
• bertstem — BERT model fine-tuned on chilean STEM lessons
• bertviz — Attention visualization tool for NLP Transformer models.
• besser-agentic-framework — BESSER Agentic Framework (BAF)
• besser-bot-framework — BESSER Bot Framework (BBF)
• best-shot — Take your best shot
• bettertool — A helper library for working with S3 and Hugging Face models
• bf-nlu — no summary
• bf-nlu-banki — no summary
• bgmhan — BGM-HAN: A PyTorch implementation of the BGM-HAN model for text classification
• bgnlp — Package for Bulgarian Natural Language Processing (NLP)
• bhsenti — 基于三分类的中文情感分析
• bicleaner-ai — Parallel corpus classifier, indicating the likelihood of a pair of sentences being mutual translations or not (neural version)
• bicv-robotlib — 基于三分类的中文情感分析
• bigcodebench — "Evaluation package for BigCodeBench"