Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
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Listof - Community based data collection, packed in gem. Get list of pretty much anything (stop words, countries, non words) in txt, JSON or hash.
An open-core tool to automate data and training workflows.
Machine learning development environment for data science and AI/ML engineering teams.
All-in-one platform to create vertical AI agents powered by your private data and knowledge.
10x faster, cheaper, and better vector database.
Visualizations for understanding and analyzing machine learning datasets.
High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Supports teaching, studying or skills practice with AI-guided learning tools.
Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.
FutureTools supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
A scalable general purpose micro-framework for defining dataflows.
Hugging Face supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Illusion Diffusion supports machine learning models, deployment, inspection, datasets, or AI development workflows.
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
IPython notebooks from Data School's video tutorials on scikit-learn.
IUMB supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Hong Jing is a data scientist & Alibaba PhD student, write about Machine Learning & Neuroscience.
Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows.
Build better AI systems with evals, RAG, agents, synthetic data, fine-tuning, and prompt optimization. Free app + open-source library.
Open source MLOps project that eases model handoffs between data scientist and DevOps.