AI Tools & Frameworks Directory

Discover five AI tools that make exploring and understanding large codebases faster and easier.

A visual, intuition-first guide to understanding what the math is really doing — from winding machines to spectrograms The post How the Fourier Transform Converts Sound Into Frequencies appeared first on Towards Data Science.

This article focuses on Google Colab , an increasingly popular, free, and accessible, cloud-based Python environment that is well-suited for prototyping data analysis workflows and experimental code before moving to production systems.

I really thought I was onto something big: add a couple of simple domain rules to the loss function, and watch fraud detection just skyrocket on super-imbalanced data. The first run looked amazing… until I fixed a sneaky threshold bug and ran the whole thing across five different random seeds. Sudde...

Like-for-Like (L4L) solutions are essential for comparing elements. It's about comparing only comparable elements, in this case, comparing stores over time. Let's see a solution built in a Semantic model. The post Building a Like-for-Like solution for Stores in Power BI appeared first on Towards Dat...

How to design and implement agent skills for custom agents outside the Claude ecosystem The post What Are Agent Skills Beyond Claude? appeared first on Towards Data Science.

For different learning styles, goals, and comfort levels, finding a SQL course that matches how you learn is hard. Some learners want theory first. Others want to run queries immediately. And many learners just want proof of effort at the end in the form of a certificate. This list is built with tha...

Claude Flow is an open-source orchestration framework designed to run multiple Claude agents in coordinated workflows. Instead of relying on a single LLM prompt chain, it allows developers to build systems where specialized agents collaborate, share memory, and divide complex tasks into manageable s...

Interested in becoming an LLM engineer? Here's a list of Python libraries you'll find essential for your work.

A data-driven introduction to game theory, Nash equilibrium, and strategic decision-making The post When Data Lies: Finding Optimal Strategies for Penalty Kicks with Game Theory appeared first on Towards Data Science.

While large language models (LLMs) are typically used for conversational purposes in use cases that revolve around natural language interactions, they can also assist with tasks like feature engineering on complex datasets.

Learn how Google Stax tests AI models and prompts against your own criteria. Compare Gemini vs GPT with custom evaluators. Step-by-step guide for beginners

Analyzing a set of objective facts about language models role and evolution, with some thoughts on the following question: are they the new commodity of the decade we can no longer live without?

Having the right certificate can make all the difference. But with so many out there, getting the right one isn’t easy. That’s where Anthropic Academy comes in. Anthropic, the company behind the Claude AI models, has introduced a learning platform through its Skilljar academy that offers structured ...

Learn how people are turning AI tools into real income by building practical systems, selling outcomes, and creating niche products that businesses are willing to pay for.

From one model to managing a massive portfolio: What 10 years in the industry taught me The post Machine Learning at Scale: Managing More Than One Model in Production appeared first on Towards Data Science.

AI development is accelerating fast. Advances in hardware, software optimization, and better datasets now allow training runs that once took weeks to finish in hours. A recent update from AI researcher Andrej Karpathy shows this shift clearly: the Nanochat open-source project can now train a GPT-2 m...

What if natural language is not the best abstraction for driving? The post LatentVLA: Latent Reasoning Models for Autonomous Driving appeared first on Towards Data Science.

Five classical data science skills are becoming the scarcest resource in tech. A 90-day roadmap to build them while everyone else chases AI hype. The post The AI Bubble Has a Data Science Escape Hatch appeared first on Towards Data Science.

OpenAI is out with a major update, building on its GPT-5 series with the all-new GPT-5.4. Introduced as GPT-5.4 Thinking, the model will also come with a GPT-5.4 Pro version for those seeking “maximum performance” on complicated tasks. Even the base version comes with a plethora of improvements over...

Learn these five Python decorators based on diverse libraries, that take particular significance when used in the context of LLM-based applications.

You don’t always go for a benchmark score to see which AI model fits your needs. Even the highest ranking models sometimes seem to miss the essence of a conversation entirely. What matters then is how fluid and helpful your conversations with AI are. Taking a step in this direction, OpenAI has now i...

Whenever I am to suggest a new AI tool to someone who is just starting out, there is one name I know can bring them unprecedented value. NotebookLM, the famous AI tool by Google, is just one-too-many solutions wrapped into a neat package of an “AI research tool.” It can summarise your notes, find yo...

Want to move beyond drawing boxes and arrows and actually understand how scalable systems are built? These GitHub repositories break down the concepts, patterns, and real-world trade-offs that make great system design possible.