AI Tools & Frameworks Directory

7 Python tricks that may help make the most of the standalone XGBoost library, particularly in terms of seeking more accurate predictive models.

Just 3 months after the release of their state-of-the-art model Gemini 3 Pro, Google DeepMind is here with its latest iteration: Gemini 3.1 Pro. A radical upgrade in terms of capabilities and safety, Gemini 3.1 Pro model strives to be accessible and operable by all. Regardless of your preference, pl...

AI can write the code, but you have to steer the ship. Master the knowledge to keep you relevant in the age of AI. The post The Missing Curriculum: Essential Concepts For Data Scientists in the Age of AI Coding Agents appeared first on Towards Data Science.

Learn how to build MCP servers and clients using FastMCP, which is comprehensive, complete with error handling, best practices, and deployment strategies, making it ideal for both beginners and intermediate developers.

ADK from Google addresses a critical gap in the agentic AI ecosystem by providing a framework that simplifies the construction and deployment of multi-agent systems. Learn more.

Modern applications rely on structured storage systems that can scale, stay reliable, and keep data consistent. At the heart of all of it sits the data model. It defines how information is organized, stored, and retrieved. Get the model wrong and performance suffers, integrity breaks down, and futur...

All you need to know about Chain of Causation reasoning and the current state of Autonomous Driving! The post AlpamayoR1: Large Causal Reasoning Models for Autonomous Driving appeared first on Towards Data Science.

Want a smaller, faster, more secure agent stack than OpenClaw?

Have you ever tried connecting a language model to your own data or tools? If so, you know it often means writing custom integrations, managing API schemas, and wrestling with authentication.

When your warehouse and transportation teams blame each other for late deliveries, who's right? We can ask an agent connected to the data settle the debate. The post Can AI Solve Failures in Your Supply Chain? appeared first on Towards Data Science.

Designing a hybrid SQL + vector retrieval system without schema changes, data migration, or performance trade-offs The post Building Cost-Efficient Agentic RAG on Long-Text Documents in SQL Tables appeared first on Towards Data Science.

Stop babysitting training runs. Start shipping research. Autonomous experiment management built for/by deep learning engineers. The post Agentic AI for Modern Deep Learning Experimentation appeared first on Towards Data Science.

For years, GitHub Copilot has served as a powerful pair programming tool for programmers, suggesting the next line of code.

Just two weeks after the launch of the frontier-grade Claude Opus 4.6, Anthropic has dropped its latest powerhouse: Claude Sonnet 4.6. But don’t let the Sonnet label fool you. Sonnet 4.6 is being hailed as the “Better-Opus” by developers in early access. For the first time, we are seeing a Sonnet-cl...

Learn how to set up OpenClaw as a personalized AI agent The post Use OpenClaw to Make a Personal AI Assistant appeared first on Towards Data Science.

Everything you need to know to get started The post Building a LangGraph Agent from Scratch appeared first on Towards Data Science.

Conceptual overview and practical guidance The post Iron Triangles: Powerful Tools for Analyzing Trade-Offs in AI Product Development appeared first on Towards Data Science.

Researchers today can draft entire papers with AI assistance, run experiments faster than ever, and summarise literature in minutes. Yet one stubborn bottleneck remains: creating clear, publication-ready diagrams. Poor diagrams look unprofessional and can obscure ideas and weaken a paper’s impact. G...

Before you commit, ask these 3 essential questions about vendor lock-in, hidden costs, and tool integration to protect your business future.

Check out this practical 2026 guide to Hugging Face. Explore transformers, datasets, sentiment analysis, APIs, fine-tuning, and deployment with Python.

This article covers the top seven Python libraries for implementing progress bars, with practical examples to help you quickly add progress tracking to data processing, machine learning, and automation workflows.

Alibaba’s Qwen lineup has evolved rapidly over the past few weeks. We recently saw Qwen3-Coder-Next targeting developers with an AI coding assistant. This was followed by Qwen Image 2.0, which pushed the platform’s image generation quality even further. Each release strengthened a specific capabilit...

This article gently introduces feature stores, describing their origins, main characteristics, reasons for their current significance, and popular tools at present.

Build your own private AI hub with Docker, Ollama, and n8n. A beginner's guide to self-hosted, local automation with no cloud fees.