TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation.
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
Ultimate AI research and engineering course
A "production-ready" simple project template to quickly start an Artificial Intelligence (AI), Machine Learning (ML) and/or Data Science (DS) project with basic files, branches and directory structure.
Kafka variant of the MLOps Level 1 stack
Scaffolding for serving ml model APIs using FastAPI
Quality Control for AI Artifact Management
🔥🔥🔥🔥🧊🔥🔥 A Data Platform for Monitoring and Detecting Anomalies in Real-Time.
Companion notebooks for blogs/tutorials on ML4Devs website.
Fast, private data connectors for AI ⚡️🤖
BMAD AI/ML Engineering Expansion Pack - Streamlined framework for AI Singapore programs (MVP, POC, SIP, LADP) with specialized agents, workflows, and templates for ML/LLM development
Build end-to-end Machine Learning pipeline to predict accessibility of playgrounds in NYC
Code for "Training models when data doesn't fit in memory" post
Study notes and demos.
Noise Injection Techniques provides a comprehensive exploration of methods to make machine learning models more robust to real-world bad data. This repository explains and demonstrates Gaussian noise, dropout, mixup, masking, adversarial noise, and label smoothing, with intuitive explanations, theory, and practical code examples.
This Repo contains a Box Detection Application capable of identifying box containers in conveyor belt pictures.
Missing Data Doctor is a diagnostic and treatment toolkit for missing values in machine learning datasets. It profiles missingness patterns, visualizes gaps, applies multiple imputation strategies, and evaluates their impact on model performance. Includes automated plots, metrics, and a full HTML report.
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