alessandro9110
Data Science and Business Intelligence student at University of Pisa. I love Machine Learning and AI. Now I'm working for Reply as an Business Analyst.
University of PisaPisa
alessandro9110's Stars
Azure-Samples/contoso-creative-writer
A creative writing multi-agent solution to help users write articles.
AutoViML/Auto_TS
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
mosaicml/composer
Supercharge Your Model Training
mosaicml/llm-eval-dashboard
A streamlit app for visualizing LLM evals.
mosaicml/llm-foundry
LLM training code for Databricks foundation models
databricks/genai-cookbook
databricks-academy/llm-foundation-models
sloria/TextBlob
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
cjhutto/vaderSentiment
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
databrickslabs/blueprint
Baseline for Databricks Labs projects written in Python
jeffprosise/Applied-Machine-Learning
PacktPublishing/Modern-Time-Series-Forecasting-with-Python
Modern Time Series Forecasting with Python, published by Packt
PacktPublishing/Learn-OpenAI-Whisper
Learn OpenAI Whisper, published by Packt
databricks-industry-solutions/car-classification
By applying transfer learning on pre-trained neural networks, we demonstrate how Databricks helps insurance companies kickstart their AI/Computer Vision journey towards claim assessment and damage estimation.
microsoft/autogen
A programming framework for agentic AI 🤖
databricks/databricks-ml-examples
databricks-academy/large-language-models
Notebooks for Large Language Models (LLMs) Specialization
ruoccofabrizio/azure-open-ai-embeddings-qna
A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3, GPT-3.5 or GPT-4 to extract the matching answer for the question.
fenago/openai
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
mesosbrodleto/playerank
Azure/mlops-v2
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
microsoft/PowerBI-Icons
Icons (PNG and SVG) for Power BI
TencentARC/GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Green-Software-Foundation/sci
A specification that describes how to calculate a carbon intensity for software applications.
recommenders-team/recommenders
Best Practices on Recommendation Systems