A curated list of Artificial Intelligence Top Tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Examples showing how to use the OpenAI vision API to run inference on images, video files and webcam streams.
Open-source project that catalogs AI services and resources for browsing by feature or use case.
Creates or edits images with generative models and visual controls.
A Collection of Awesome Generative AI Applications.
Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.
. A newsletter about data science. Archive.
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
Machine learning development environment for data science and AI/ML engineering teams.
Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.
Quix is the agentic AI platform for hardware engineering — turn test-rig and sensor data into real-time insight.
The go-to, no-nonsense, fast and lean job site in AI, ML, Data Science and Big Data.
"Tips and tricks for working with Large Language Models like OpenAI's GPT-4".
Prepare for software engineering interviews with 150+ system design and 30+ behavioral questions at bugfree.ai. Get AI-powered feedback!
Library of ML-Engineering tools for rapid prototyping and experiment management.
A CLIP primer with 3500+ prompt output examples.
. Practical AI engineering and generative AI explained simply: RAG, agents, and LLM application patterns for builders.
Feature engineering package with SKlearn like functionality.
Python library for automated feature engineering.
Current flagship model for agentic engineering and stronger coding workflows.
LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.
A generic approach that allows to mimic most factorization models by feature engineering.
A JavaScript application framework for machine learning and its engineering.