dm4ml / gate
Drift detection module for machine learning pipelines.
β23Updated last year
Alternatives and similar repositories for gate:
Users that are interested in gate are comparing it to the libraries listed below
- Framework for building and maintaining self-updating prompts for LLMsβ61Updated 10 months ago
- π€ Trade any tensors over the networkβ30Updated last year
- Check for data drift between two OpenAI multi-turn chat jsonl files.β37Updated last year
- Gzip and nearest neighbors for text classificationβ56Updated last year
- β78Updated 10 months ago
- An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.β30Updated 2 years ago
- Demo on how to use Prefect with Dockerβ25Updated 2 years ago
- Study the temporal performance degradation of machine learning models.β16Updated last year
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.β37Updated 4 years ago
- Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and teβ¦β42Updated last year
- Slides and recordings of talks hosted by our communityβ20Updated 9 months ago
- β30Updated 3 years ago
- The fastai book, 2nd edition (in progress)β51Updated 9 months ago
- Deep Learning how-to's using Lance file formatβ16Updated 6 months ago
- Leverage your LangChain trace data for fine tuningβ41Updated 8 months ago
- A library to use `modal` as a backend for `joblib`.β28Updated 2 months ago
- Convert monolithic Jupyter notebooks π into maintainable Ploomber pipelines. πβ78Updated 6 months ago
- Verbosity control for AI agentsβ61Updated 10 months ago
- A tool for quickly adding labels to unlabeled datasetsβ20Updated last year
- LLM application tracing based on OpenTelemetryβ10Updated last month
- π€ HuggingFace Inference Toolkit for Google Cloud Vertex AI (similar to SageMaker's Inference Toolkit, but for Vertex AI and unofficial)β17Updated last year
- Just a super thin wrapper for Python tasks that form a flow.β21Updated 2 months ago
- It's a cooler way to store simple linear models.β28Updated 8 months ago
- Generate beautiful, testable documentation with Jupyter Notebooksβ21Updated 2 years ago
- Examples of using Evidently to evaluate, test and monitor ML models.β23Updated last week
- SPEAR: Programmatically label and build training data quickly.β106Updated 9 months ago
- Lite weight wrapper for the independent implementation of SPLADE++ models for search & retrieval pipelines. Models and Library created byβ¦β30Updated 7 months ago
- A framework for simulating e-commerce data and interactions that can be used to build recommendation systemsβ10Updated last year
- Tools to make language models a bit easier to useβ41Updated this week
- β15Updated last year