Run sandboxes, task queues, and custom model inference with ultrafast boot times, instant autoscaling, and a developer experience that just works.
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Make tiny self-contained web apps with AI. Post on r/BerrryComputer to get started. Advanced editing, version control, and export features included.
CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.
Library of ML-Engineering tools for rapid prototyping and experiment management.
Open-source project that catalogs AI services and resources for browsing by feature or use case.
Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms.
Track your datasets, code changes, experimentation history, and models.
Introducing GetWhys: AI trained on firsthand experiences.
Plugin for CMS Adobe Experience Manager (AEM) or Composum Pages helping the editor to create / edit / translate texts.
Where the pros learn the AI skills of the future. Explore your creativity with our hands-on AI courses.
Credyt is real-time monetization infrastructure for AI. Observe your spend, control your exposure, and bill your customers across every pricing model.
Curate and annotate vision, audio, and LLM datasets, track experiments, and manage models on a single platform.
Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Data Skeptic is a podcast hosted by Kyle Polich, featuring interviews with experts on data science, machine learning, AI, and statistics.
Where I express personal thoughts in words.
Upload a photo of any room, kitchen, exterior, or garden and get a photorealistic AI redesign in seconds. No design experience needed.
A tool that experiments the motto "let the code write itself".
. Practical AI engineering and generative AI explained simply: RAG, agents, and LLM application patterns for builders.
Entrepreneur and technologist with over 30 years of experience building and scaling technology ventures across multiple industries and geographies.
Tools for exploratory data analysis in Python.
Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.
Data Version Control - Git for Data & Models - ML Experiments Management.
Python library for experiment metrics logging into simply formatted local files.
Python package which helps to debug machine learning classifiers and explain their predictions.