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mrkdwn_analysis is a Python library for analyzing Markdown files. It extracts and categorizes Markdown elements like headers, sections, links, images, etc. Ideal for data analysis, content generati…
An application for running LLMs locally on your device, with your documents, facilitating detailed citations in generated responses.
Convert PDF to markdown quickly with high accuracy
RAG AutoML Tool - Find optimal RAG pipeline for your own data.
High-performance retrieval engine for unstructured data
DSPy: The framework for programming—not prompting—foundation models
The /llms.txt file, helping language models use your website
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
This is the Study Guide for Learn Machine Learning in 3 Months (PyTorch Curriculum) by Siraj Raval on Youtube
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
High-resolution models for human tasks.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
SiLLM simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework.
Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
🦜🔗 Build context-aware reasoning applications
idiap / coqui-ai-TTS
Forked from coqui-ai/TTS🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Fine-Tuning Embedding for RAG with Synthetic Data
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production