raulperula

raulperula's Stars

• amazon-science/RAGChecker

  RAGChecker: A Fine-grained Framework For Diagnosing RAG

  Language:Python63255

• HandsOnLLM/Hands-On-Large-Language-Models

  Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

  Language:Jupyter Notebook3k655

• SylphAI-Inc/AdalFlow

  AdalFlow: The library to build & auto-optimize LLM applications.

  Language:Python2.3k210

• Avaiga/taipy

  Turns Data and AI algorithms into production-ready web applications in no time.

  Language:Python17.3k1.9k

• mfmezger/conversational-agent-langchain

  FastAPI Backend for a Conversational Agent using Cohere, (Azure) OpenAI, Langchain & Langgraph and Qdrant as VectorDB

  Language:Python19132

• All-Hands-AI/OpenHands

  🙌 OpenHands: Code Less, Make More

  Language:Python38.6k4.4k

• janlukasschroeder/nlp-cheat-sheet-python

  NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition

  Language:Jupyter Notebook22266

• langchain-ai/langgraph-studio

  Desktop app for prototyping and debugging LangGraph applications locally.

  2.1k135

• dccuchile/beto

  BETO - Spanish version of the BERT model

  49163

• PlanTL-GOB-ES/lm-spanish

  Official source for spanish Language Models and resources made @ BSC-TEMU within the "Plan de las Tecnologías del Lenguaje" (Plan-TL).

  Language:Python25321

• cookiecutter/cookiecutter

  A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

  Language:Python22.8k2k

• cjolowicz/cookiecutter-hypermodern-python

  Hypermodern Python Cookiecutter

  Language:Python1.8k236

• NVIDIA/NeMo-Guardrails

  NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

  Language:Python4.3k404

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook11.4k3.3k

• Bklieger/infinite-bookshelf

  Infinite Bookshelf: Generate entire books in seconds using Groq and Llama3

  Language:Python1.2k269

• lichao-sun/Mora

  Mora: More like Sora for Generalist Video Generation

  Language:Python1.5k97

• anthropics/courses

  Anthropic's educational courses

  Language:Jupyter Notebook8.4k652

• GoogleCloudPlatform/training-data-analyst

  Labs and demos for courses for GCP Training (http://cloud.google.com/training).

  Language:Jupyter Notebook8k5.9k

• microsoft/promptflow

  Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

  Language:Python9.6k887

• Azure/PyRIT

  The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

  Language:Python2k378

• Eladlev/AutoPrompt

  A framework for prompt tuning using Intent-based Prompt Calibration

  Language:Python2.3k197

• build-on-aws/amazon-bedrock-custom-langchain-agent

  Learn to build custom prompts and tools for LangChain agents

  Language:Python347

• preset-io/promptimize

  Promptimize is a prompt engineering evaluation and testing toolkit.

  Language:Python44135

• haotian-liu/LLaVA

  [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

  Language:Python20.7k2.3k

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

  Language:Jupyter Notebook15.6k2.3k

• gabrielchua/RAGxplorer

  Open-source tool to visualise your RAG 🔮

  Language:Jupyter Notebook1.1k97

• eli64s/readme-ai

  README file generator, powered by AI.

  Language:Python1.7k175

• GoogleCloudPlatform/applied-ai-engineering-samples

  This repository compiles code samples and notebooks demonstrating how to use Generative AI on Google Cloud Vertex AI.

  Language:Jupyter Notebook414139

• dair-ai/ML-Course-Notes

  🎓 Sharing machine learning course / lecture notes.

  6.1k800

• yumingj/DeepFashion-MultiModal

  A large-scale high-quality human dataset with rich multi-modal annotations

  53134