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Sacred

Appears in 6 awesome lists

Python tool to help you configure, organize, log and reproduce experiments. Like a notebook lab in the context of Chemistry/Biology. The community has built multiple add-ons leveraging the proposed standard.

Open github.comidsia/sacred

Found in these lists

Awesome LLMOps

Section: Experiment Tracking · Sacred is a tool to help you configure, organize, log and reproduce experiments.

ActiveScore 75

Awesome Machine Learning

Section: Tools · Python tool to help you configure, organize, log and reproduce experiments. Like a notebook lab in the context of Chemistry/Biology. The community has built multiple add-ons leveraging the proposed standard.

FreshScore 93

Awesome MLOps

Section: Model Lifecycle · A tool to help you configure, organize, log and reproduce experiments.

FreshScore 80

Awesome Production Machine Learning

Section: Model, Data and Experiment Management · Tool to help you configure, organize, log and reproduce machine learning experiments.

FreshScore 92

awesome-python

Section: Machine Learning Frameworks · Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

FreshScore 81

Awesome Python Data Science

Section: Experimentation · A tool to help you configure, organize, log, and reproduce experiments.

ActiveScore 71

m2cgen

Transpile trained ML models into other languages. sklearn-porter - Transpile trained scikit-learn estimators to C, Java, JavaScript and others. mlflow - Manage the machine learning lifecycle, including experimentation, reproducibility and deployment. skll - Command-line utilities to make it easier…

In 16 listsDetails

promptfoo

Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/Mixtral/Llama with CI/CD

In 11 listsDetails

ML Workspace

All-in-one web-based IDE for machine learning and data science. The workspace is deployed as a docker container and is preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch) and dev tools (e.g., Jupyter, VS Code).

In 10 listsDetails

Hamilton

| Python | - A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc. Embed Hamilton anywhere python runs, e.g. spark, airflow, jupyter, fastapi, python scripts, etc.

In 10 listsDetails

Infinity

AI-native database built for LLM applications with incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text. Powers RAGFlow's document engine. Apache 2.0 licensed.

In 9 listsDetails

PraisonAI

Praison AI is a low-code, centralized framework leveraging AutoGen and CrewAI to simplify creating and orchestrating multi-agent systems for LLM applications, emphasizing customization and ease of human-agent interaction github | demo | website

In 9 listsDetails

txtai

All-in-one AI framework for semantic search, LLM orchestration and language model workflows. Embeddings database with customizable pipelines.

In 9 listsDetails

Pinecone

The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.

In 8 listsDetails