Andrei Bâcu's starred repositories
llm-datasets
High-quality datasets, tools, and concepts for LLM fine-tuning.
agent-service-toolkit
Full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit
claude-engineer
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks. This tool combines the capabilities of a large language model with practical file system operations and web search functionality.
sparkmagic
Jupyter magics and kernels for working with remote Spark clusters
hands-on-train-and-deploy-ml
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
real-time-data-pipelines-in-python
Real-time Feature Pipelines in Python ⚡
awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Scrapegraph-ai
Python scraper based on AI
streamlit-application-deployment-on-aws
Streamlit EDA Dashboard Powered by AWS Cloud
crawlee-python
Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.
graph-fraud-detection
Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.
graph-fraud-detection-papers
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
CopilotKit
A framework for building custom AI Copilots 🤖 in-app AI chatbots, in-app AI Agents, & AI-powered Textareas.
llm-graph-builder
Neo4j graph construction from unstructured data using LLMs
streamlit-docker
Bare bones use-case for deploying a containerized web app (built in streamlit) on AWS.
LLM-workshop-2024
A 4-hour coding workshop to understand how LLMs are implemented and used
gpt4-pdf-chatbot-langchain
GPT4 & LangChain Chatbot for large PDF docs
gradio_RAG
Code and resources showcasing the Retrieval-Augmented Generation (RAG) technique, a solution for enhancing data freshness in Large Language Models (LLMs). Incorporate up-to-date external knowledge into LLM-generated responses. Additionally, this repository includes a Gradio-based user interface for seamless model deployment.