SuperML.dev empowers developers with project-based learning and production-ready templates for Stock Prediction, Credit Card Fraud Detection, and Agentic AI. 🔥 New guides & tools weekly!
Highlights
Designed for engineers, researchers, and students who want to build real-world AI projects.
From LangChain agents to multi-modal planners, learn AI systems hands-on.
Learn stock prediction using technical indicators, news sentiment, and fundamentals.
XGBoost, Deep Learning & real pipelines for detecting transactional anomalies.
Built using Astro & Tailwind CSS for lightning-fast UX and maintainability.
Use, fork, or contribute — your learning and tools should never be locked.
Join others building together — from weekend hobbyists to professional engineers.
Step 1: Clone
Fork SuperML.dev starter projects or use the main template. It's all on GitHub.
Step 2: Build & Learn
Follow step-by-step Jupyter notebooks or guides for each AI/ML use case.
🎉 Earn a badge!
Explore hands-on guides, case studies, and news about Agentic AI, LangChain, and machine learning techniques you can use in real-world projects.
From Gemma 4 running offline on a Raspberry Pi to Anthropic overhauling enterprise pricing, the economics of AI are being rewritten — and open-source models are emerging as the biggest winners.
The Stanford AI Index 2026 landed this week with a stark paradox — AI capabilities are advancing faster than ever, yet model transparency has collapsed and public trust is eroding. Meanwhile, OpenAI's next flagship is weeks away and AI agent benchmarks are being rewritten.
April 2026 is already the most consequential month in AI history — Meta's 10M-token Llama 4, Google's 1M-token Gemini 2.5 Pro, NVIDIA's humanoid robot foundation models, and a neuro-symbolic breakthrough that cuts AI energy use 100× are reshaping the landscape.
Discover how Microsoft is redefining LLM inference using ZeRO-Inference, PagedAttention, and DeepSpeed-MII. This blog shows how you can run big models like Phi-3 efficiently on modest hardware, all while boosting speed, privacy, and cost savings.
FAQ
Got questions about SuperML, agentic systems, or how to get started?
Yes! All projects, templates, and guides are MIT licensed. Fork and build freely.
We’d love that. Submit PRs, write blogs, or build templates with us!
Developers, students, indie hackers, AI hobbyists — anyone with a builder's mindset.
Build projects, learn deeply, share your work — and bring Agentic AI to life.
