AI Tools & Frameworks Directory

The AI researcher Andrej Karpathy has developed an educational tool microGPT which provides the easiest access to GPT technology according to his research findings. The project uses 243 lines of Python code which does not need any external dependency to show users the fundamental mathematical princi...

Natural Language Processing

Combining statistical detection with agentic decision-making The post Building an AI Agent to Detect and Handle Anomalies in Time-Series Data appeared first on Towards Data Science.

Sixteen autonomous AI agents. Two weeks of continuous execution. Nearly 100,000 lines of Rust code. That’s what it took for Anthropic to build a working C compiler capable of compiling large real-world projects like the Linux kernel. There is, however, a kicker here. The project, internally referred...

A-T-S!! A hurdle that most applicants just can’t cross. Spending hours on Overleaf and resume making websites to create their perfect resumes: just to find out that it has an ATS score of 40! For some it’s a dead end. Regardless of what they try, the score doesn’t seem to get anywhere near the requi...

Alibaba’s Qwen has been on a roll lately, launching model after model for various use cases. For instance, it recently introduced the Qwen3-Coder-Next as an AI coding assistant for developers. This time, the AI giant is in the news yet again for its latest release – the Qwen-2.0-Image. As the name s...

Generative AI, as experienced using traditional chat-style interfaces, has proven to be an incredibly useful tool. Still, it has a major limitation: it sits there and waits for you to type.

AI agents go beyond single responses to perform tasks autonomously. Here’s a simple breakdown across three levels of difficulty.

Modern data analytics doesn’t have to be complex. Learn how Python, Parquet, and DuckDB work together in practice.

An easy step-by-step guide to building the snake game from scratch The post Implementing the Snake Game in Python appeared first on Towards Data Science.

Tired of sifting through bloated folders, waiting on manual conversions, or not quite knowing what is on your drive? These Python scripts handle the file grunt work so you don't have to.

Text autocompletion and chat queries are no longer the only roles for AI agents. They now refactor repositories, generate documentation, review codebases, and run unattended workflows, creating new challenges in coordinating multiple agents without losing context, control, or code quality. Maestro, ...

Imagine that you suddenly obtain a large collection of unclassified documents and are tasked with grouping them by topic.

Use Claude Code to speed up data science. Master data cleaning, visualization, and model prototyping with Python, pandas, and scikit-learn. Get actionable power tips.

How the new Interactions API enables deep-reasoning, stateful, agentic workflows. The post The Death of the “Everything Prompt”: Google’s Move Toward Structured AI appeared first on Towards Data Science.

Independent AI agents are moving into real workflows, managing projects and automating complex tasks with growing autonomy. As their responsibilities expand, the need for stronger security, reliability, and execution control increases. Production environments require predictable behavior, safe autom...

Creating Ad copies and blog content, enabling data collection, optimizing campaigns, processing customer data to build detailed personas, and even automating your entire marketing workflow from lead nurturing to conversion tracking. AI is growing so fast that it can heavy-lift the majority of your m...

Virtual assistants in business are changing fast. Massive enterprise systems like OpenClaw pack hundreds of thousands of lines of code, but nanobot challenges the idea that bigger automatically means better. With just 4000 lines of Python, it delivers core AI assistant capabilities in a lightweight,...

GPT-5.3-Codex represents a new generation of the Codex model built to handle real, end-to-end work. Instead of focusing only on writing code, it combines strong coding ability with planning, reasoning, and execution. The model runs faster than earlier versions and handles long, multi-step tasks invo...

How much of your AI agent's output is real data versus confident guesswork? The post Prompt Fidelity: Measuring How Much of Your Intent an AI Agent Actually Executes appeared first on Towards Data Science.

Stop fighting AI. Use a tech stack AI understands and can build a paid SaaS within minutes.

Are the human-like cognitive abilities of LLMs real or fake? How does information travel through the neural network? Is there hidden knowledge inside an LLM? The post Mechanistic Interpretability: Peeking Inside an LLM appeared first on Towards Data Science.

What the… AI agents arguing over memes? Sure, why not.

How the Abacus.AI CEO Views Artificial General Intelligence and the Best AI Models for Every Use Case