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Tensors and Dynamic neural networks in Python with strong GPU acceleration
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
SGLang is a high-performance serving framework for large language models and multimodal models.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
An open-source NLP research library, built on PyTorch.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Run PyTorch LLMs locally on servers, desktop and mobile
Let ChatGPT teach your own chatbot in hours with a single GPU!
Document (PDF, Word, PPTX ...) extraction and parse API using state of the art modern OCRs + Ollama supported models. Anonymize documents. Remove PII. Convert any document or picture to structured …
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
Label, clean and enrich text datasets with LLMs.
[NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
Log TensorBoard events without touching TensorFlow
A large-scale, fine-grained, diverse preference dataset (and models).