cosimodamicis

kg_llm

Integrating knowledge graphs (KG) with large language models (LLM)

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

data-science-best-practices

The goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalability, monitoring and engineering of the solution.

llama_parse

Parse files for optimal RAG

taxonomy

Taxonomy tree that will allow you to create models tuned with your data

Meshroom

3D Reconstruction Software

llm-graph-builder

Neo4j graph construction from unstructured data using LLMs

sammo

A library for prompt engineering and optimization (SAMMO = Structure-aware Multi-Objective Metaprompt Optimization)

pandas-ai

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

maestro

A framework for Claude Opus to intelligently orchestrate subagents.

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

wtfpython

What the f*ck Python? 😱

LLM101n

LLM101n: Let's build a Storyteller

salesforce-sdk

A Salesforce library for communicating with the IBM Watson REST APIs

matmulfreellm

Implementation for MatMul-free LM.

spreadsheet-is-all-you-need

A nanoGPT pipeline packed in a spreadsheet

Verba

Retrieval Augmented Generation (RAG) chatbot powered by Weaviate

langchain_forecast

Langchain tool for time series forecasting

jupytemplate

Templates for jupyter notebooks

gps_soteria

gpt4free

The official gpt4free repository | various collection of powerful language models

optimate

A collection of libraries to optimise AI model performances

desktop-news-notifier

talkdata

Pyspark_classification

Esercizio di classificazione tramite l'utilizzo un modello di Regressione Logistica con il modulo MLlib di Spark. Lo scopo è quello di identificare tumori maligni al seno da delle informazioni estratte delle agobiopsie

Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-Recognition

A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)

R-vs.-Python-for-Data-Science

machine-learning-course

:speech_balloon: Machine Learning Course with Python:

EndtoEnd---Predictive-modeling-using-Python