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AI Evaluation & Observability

Bergen

BERGEN is a library for benchmarking question-answering retrieval-augmented generation (RAG) systems.

Guide: Run and evaluate a BERGEN RAG benchmark
AI Models

Berkeley Neural Parser

Berkeley Neural Parser is a Python NLP parser that generates constituency trees using pretrained neural models for 11 languages.

Guide: Set up the parser with spaCy for English
AI Models

Bert

Bert is a Python and TensorFlow repository providing pre-trained BERT models and code for natural-language processing and fine-tuning.

Guide: Select and download a compact BERT checkpoint
AI Models

Bert Classification Tutorial

Bert Classification Tutorial is a Python code repository that teaches BERT fine-tuning for text classification through a worked Japanese livedoor news-categorization example and a reusable data-preparation, training and evaluation workflow.

Guide: Set up the tutorial environment with Poetry
RAG & Knowledge Systems

Bert Faiss Qa System

Bert Faiss Qa System is a Python application for asking questions about a document collection.

Guide: Set up and open the local document Q&A interface
AI Models

Bert Multi Label Text Classification

Bert Multi Label Text Classification is a Python/PyTorch implementation for multi-label text classification with pretrained BERT and XLNet models.

Guide: Prepare and fine-tune the BERT example
AI Models

Bert Nli

Bert Nli is an open-source Python project that provides fine-tuned BERT and ALBERT models and code for natural-language inference: classifying a sentence pair as contradiction, entailment or neutral.

Guide: Set up the project and download its datasets and model
AI Models

Bert Of Theseus

Bert Of Theseus is an open-source Python and PyTorch implementation for compressing BERT by progressively replacing its components with smaller successor components.

Guide: Load the pretrained MNLI model
AI Models

Bert Relation Extraction

Bert Relation Extraction is a public Python and PyTorch implementation of BERT-family relation-extraction models based on the ACL 2019 “Matching the Blanks” paper, with additional ALBERT and BioBERT variants.

Guide: Run sentence-level relation inference
AI Developer Tools & SDKs

Bert Sklearn

Bert Sklearn is a Python library that wraps BERT fine-tuning in scikit-learn-style classifier, regressor and token-classifier workflows.

Guide: Install Bert Sklearn
AI Models

Bert Squeeze

Bert Squeeze is a Python library of code for reducing the size or inference latency of Transformer-based models, with implementations for distillation, pruning and quantization and early exiting listed among its techniques.

Guide: Set up the Bert Squeeze repository
AI Developer Tools & SDKs

Bert4Torch

Bert4Torch is an open-source Python library that implements transformer models using PyTorch and provides workflows for fine-tuning, NLP tasks, large-language-model inference, and serving.

Guide: Start a documented local model-serving mode
AI Models

Bertbasedcorrectionmodels

Bertbasedcorrectionmodels is a Python repository of PyTorch implementations of BERT-based Chinese spelling-error correction models, with configurations and examples for preparing SIGHAN data, training models and running inference.

Guide: Run inference on text with a project checkpoint
AI Models

Bertclassifier

Bertclassifier is an MIT-licensed Python project that uses PyTorch and Hugging Face Transformers to train and run a BERT-based Chinese text classifier.

Guide: Set up and run the documented CNews workflow
AI Models

BERTimbau

BERTimbau is a repository of pretrained, cased BERT-Base and BERT-Large models for Portuguese, with TensorFlow and PyTorch artifacts and usage materials for downstream NLP tasks.

Guide: Load a pretrained model with Hugging Face Transformers
AI Data & Analytics

Bertopic

Bertopic is the public project for BERTopic, a Python library that uses BERT-based text representations and class-based TF-IDF to discover and represent interpretable topics in document collections.

Guide: Install BERTopic in a Python environment
AI Evaluation & Observability

BERTScore

BERTScore is an open-source Python library and command-line tool for evaluating generated text against reference text using contextual representations from pretrained language models.

Guide: Score candidate text files against references
Search & Research AI

Bertsearch

Bertsearch is a Python search application that uses a pretrained BERT model to vectorize document text, stores the vectors in Elasticsearch, and provides a browser interface for searching indexed documents.

Guide: Set up Bertsearch and index CSV documents