Stars
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
nannyml: post-deployment data science in python
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Standardized Serverless ML Inference Platform on Kubernetes
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Multi-Agent Retrieval-Augmented Generation (RAG) Customer Support System using Python, LangChain, and LangGraph.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
A tutorial on using EKS with fargate on the AWS Cloud
A system that implement text-to-SQL technique through Python, LangChain, and Streamlit. It allows users to input natural language questions and receive corresponding SQL queries and results.
Hyper-parameter optimization for sklearn
Codebase to train, pack, deploy and monitor ML models
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
MLOpsCommunity's reading group for _Practical MLOps_ by Noah Gift and Alfredo Deza
[Book-2021] Practical MLOps O'Reilly Book
Generative AI on AWS
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Data for Environmental Intelligence: A mega list of Earth System Datasets covering earth observations, climate, water, forests, biodiversity, ecology, protected areas, natural hazards, marine and t…
🌍 A curated list of APIs, open data and ML/AI projects on climate change
ESG-investment AI
Open Source Platform for developing, scaling and deploying serious ML, AI, and data science systems
🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.
Predictive Soil Mapping with R (book)
Machine learning to better predict and understand drought. Moving github.com/ml-clim
Data science for wildfire risk forecasting and monitoring
Global Maps of Potential Natural Vegetation based on Machine Learning