nlp

【2024年版】BERTによるテキスト分類

A collection of Danish Transformers

A pure-Python structured memory benchmark for multi-agent LLM systems — context graph vs vector RAG vs raw history dump, five scenarios, 18 graded queries, zero API calls.

StickerSelector 是一个基于语义向量匹配的表情包选择系统，用于让 AI 在聊天中发送真正符合语境的表情包。 与传统依赖关键词或规则的方案不同，StickerSelector 会将 AI 生成的“表情包意图描述”与本地表情包进行语义匹配，从而选出在当前语境下最自然、最像真人会使用的表情。 适用于 AI 聊天机器人、QQ或微信的自动聊天、AI 女友等需要“拟人化表达”的场景。

Website for the Natural Language Processing with Transformers book

🐍📦 Ultra-fast Python package for calculating and analyzing the Word Error Rate (WER). Built for the scalable evaluation of speech and transcription accuracy.

Train linear embedding adapters with triplet loss to align retrieval embeddings with your queries (RAG).

Fine-tuning an LLM using a Generic Workflow and Best Practices with PyTorch

Learning PyTorch through the D2L book. A series of notebooks for the same

A python package to run inference with HuggingFace language and vision-language checkpoints wrapping many convenient features.

Train transformer-based models.

A fluent, scalable, and easy-to-use LLM data processing framework.

Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.

Tools for the Griptape Framework.

Advanced NLP Workshop: word-sense disambiguation with RoBERTa and text summarization with BART (Machine Learning Milan)

a simple lightweight large language model pipeline framework.

Turn documents into high-quality instruction datasets with grounding, quality filtering, deduplication, and provenance.

Generate README.md with GPT-3 few-shot learning

Advanced Coding AI Assistant that uses a Gradio interface to stream coding related responses. ChatRAG supports local and API inference and pulls context from GitHub Repos and local files.

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