AI Tools & Frameworks Directory

When building machine learning models, training is only half the journey.

From real-time edits to reasoning-driven image transformations, this guide breaks down five open source AI models that are quietly reshaping how images are created and edited.

The case against pre-built tools in Agentic Architectures The post Plan–Code–Execute: Designing Agents That Create Their Own Tools appeared first on Towards Data Science.

While we were all worried about AI taking over human jobs, artificial intelligence leaped across the length of our imagination and took a seat at the helm. Till now, the main concern for employees across the globe was human workforce being replaced by AI systems. It seems the tables have turned now,...

Distributed agents need only decide one move ahead. The post Routing in a Sparse Graph: a Distributed Q-Learning Approach appeared first on Towards Data Science.

You have mastered model.

Five widely adopted time series foundation models delivering accurate zero-shot forecasting across industries and time horizons.

Ever since its announcement, Grok has been among the leading generative AI platforms across the globe. Reason – its quick and accurate outputs, longer context handling, and of course, a bit of wit that accompanies all its responses. It is easy to see the AI model’s sharpness across output formats, b...

Sara Nobrega on the transition from data science to AI engineering, using LLMs as a bridge to DevOps, and the one engineering skill junior data scientists need to stay competitive. The post Building Systems That Survive Real Life appeared first on Towards Data Science.

Demystifying the concept of a parameter in machine learning: what they are, how many parameters a model has, and what could possibly go wrong when learning them.

From debugging to quick fixes, here are the top Android apps every developer should have on their phone.

The large language models (LLMs) hype wave shows no sign of fading anytime soon: after all, LLMs keep reinventing themselves at a rapid pace and transforming the industry as a whole.

In late 2025, an open-source project called Clawdbot was released. Built by Peter Steinberger, it was designed to be a practical personal AI assistant: not a chatbot, but a system that could actually do things. As it evolved, Clawdbot was renamed twice. First to Moltbot, and then to OpenClaw. You ca...

Machine learning projects work best when they connect theory to real business outcomes. In e-commerce, that means better revenue, smoother operations, and happier customers, all driven by data. By working with realistic datasets, practitioners learn how models turn patterns into decisions that actua...

Five APIs that make experimenting with AI and web data easy, practical, and beginner-friendly.

LLMs aren’t limited to AI and related fields! They’re powering almost every tech, and thereby is one of the most asked about topics in interviews. This makes it essential to have a surface level familiarity of the technology. This article is designed to mirror how LLMs show up in real interviews. We...

Don't miss our most-read and -shared stories of the past month The post TDS Newsletter: January Must-Reads on Data Platforms, Infinite Context, and More appeared first on Towards Data Science.

Going beyond the math to build intuition The post RoPE, Clearly Explained appeared first on Towards Data Science.

Ready to learn these 7 Scikit-learn tricks that will take your machine learning models' hyperparameter tuning skills to the next level?

The promise of agentic AI is compelling: autonomous systems that reason, plan, and execute complex tasks with minimal human intervention.

Just earlier this month, Moonshot AI dropped a bomb in the AI world with the Kimi K2.5. With a 1 trillion-parameter MoE model with 32 billion active parameters, Kimi K2.5 roared onto the scene, shaking the likes of GPT 5 and Gemini 3 Pro. At the time, we had covered how it is one of […] The post Mak...

Implementing cross-silo federated learning step by step The post Federated Learning, Part 2: Implementation with the Flower Framework 🌼 appeared first on Towards Data Science.

Successful data teams aren’t using more AI; they’re using AI differently. They embed it into workflows and decisions, employing ownership models that many SMBs haven’t adopted.

A step-by-step guide to building a “Minority Report”-style interface using OpenCV and MediaPipe The post I Ditched My Mouse: How I Control My Computer With Hand Gestures (In 60 Lines of Python) appeared first on Towards Data Science.