Popular GitHub Repositories for Csv

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

LLM based data scientist, AI native data application. AI-driven infinite thinking redefines BI.

TensorFlow template application for deep learning

AI Tool for querying natural language on tabular data.

?Free GPT-3.5 chat with your docs (PDF, WORD, CSV, TXT)

?? RumbleDB 1.22.0 "Pyrenean oak" ? for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more

Chat with your tabular data. No need of remembering any formulas or learning pandas. Train machine learning models in natural language

Automatic number plate recognition using tech: Yolo, OCR, Scene text detection, scene text recognation, flask, torch

This repository contains various examples of how to use LangChain, a way to use natural language to interact with LLM, a large language model from Azure OpenAI Service.

? Quivr Chatbot extension - Instantly access Quivr, dump your files and chat with them using your Generative AI Second Brain using LLMs ( GPT 3.5/4, Private, Anthropic, VertexAI ) & Embeddings ?

Python Streamlit web app allowing users to interact with their data from a CSV or XLSX file, utilizing OpenAI API and LangChain. It imports necessary libraries, handles API key loading, displays a user-friendly interface for file upload and data preview, creates a Pandas DF agent with OpenAI, and executes user queries.

Semantic QA with a markdown database: Query any markdown file using vector embedding, Pinecone vector database and GPT (langchain). A weaker version of privateGPT

Big Data tool for metadata extraction (Exif), enrichment (using DeepLearning) and analysis

QnA bot on a CSV

CSVs of the Huggingface and LMSYS LLM leaderboards, along with the code to generate them in R.

Longsword Stance RESTful Service Working demo: https://www.youtube.com/watch?v=v7hvOyPQ0EM Longsword Stance RESTful Service: Invokes prediction results with real-time multivariate time series data. Using Flask and python, the pre-trained bidirectional LSTM deep learning model is loaded to memory. RESTful post request containing real-time rows of IMU data can be used to classify the longsword movement stance. Information on the classification confidence and execution time in milliseconds is also provided.

?✨ A next-level spreadsheet editor with ML integration, supporting real-time graphs and formulas.

This repo contains code related to development of LLM based projects with Langchain and LLamaIndex. It uses RAG, Function calling, agents and tools as of now for interaction with data.

self host/local host llama2 based web app to chat with your csvs (multiple)

WovenSnips: A Lightweight, Free, and Open-source Implementation of Retrieval-Augmented Generation (RAG) using Straico API