benjaminbluhm's Stars
microsoft/promptflow
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
explodinggradients/ragas
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
Azure/azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
ml-toolkits/mlflavors
A collection of MLflow custom flavors
hwchase17/langchain-streamlit-template
databricks-industry-solutions/diy-llm-qa-bot
Driving a Large Language Model Revolution in Customer Service and Support
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
deepset-ai/haystack
:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
sdv-dev/SDV
Synthetic data generation for tabular data
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
mmz-001/knowledge_gpt
Accurate answers and instant citations for your documents.
microsoft/semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
mlflow/mlflow
Open source platform for the machine learning lifecycle
bashtage/linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
aeon-toolkit/aeon
A toolkit for machine learning from time series
databrickslabs/dbx
🧱 Databricks CLI eXtensions - aka dbx is a CLI tool for development and advanced Databricks workflows management.
SeldonIO/MLServer
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
sktime/sktime
A unified framework for machine learning with time series
krlng/techtalks
My collection of talks I gave at conference or Meetup like events
jpmml/sklearn2pmml
Python library for converting Scikit-Learn pipelines to PMML
unionai-oss/pandera
A light-weight, flexible, and expressive statistical data testing library
PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
AI4Finance-Foundation/FinRL-Meta
FinRL-Meta: Dynamic datasets and market environments for FinRL.
AI4Finance-Foundation/FinRL
FinRL: Financial Reinforcement Learning. 🔥
AI4Finance-Foundation/FinRL_Podracer
Cloud-native Financial Reinforcement Learning
microsoft/nutter
Testing framework for Databricks notebooks
SaschaDittmann/MLOps-Databricks
MLOps using Azure Databricks, Azure DevOps and Azure ML Services
koernigo/databricksMLOpsAzureDemo