185 results for “topic:ml-engineering”
TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, 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
Quality Control for AI Artifact Management
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
MLOps Case Study
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.
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
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.
🔥🔥🔥🔥🧊🔥🔥 A Data Platform for Monitoring and Detecting Anomalies in Real-Time.
A deep exploration of how human psychology shapes fraud behavior and how those patterns become measurable signals in transaction data. This article reveals the behavioral, cognitive, and economic forces behind fraud, explaining how ML models detect deviations, anomalies, and intent hidden within financial transactions.
Companion notebooks for blogs/tutorials on ML4Devs website.
Fast, private data connectors for AI ⚡️🤖
This Repo contains a Box Detection Application capable of identifying box containers in conveyor belt pictures.
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.
In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application.
Vehicle data classification (supervised, unsupervised learning)
An easy-to-use tool for making web service with API from your own Python functions.
A playground for building and serving Retrieval-Augmented Generation (RAG) systems using best practices in MLOps and LLMOps, with open-source tools.
AI/ML Engineer – Stage 1 provides the fundamental building blocks to create a professional Artificial Intelligence Engineer. This journey begins with the understanding of the theoretical underpinnings of AI/ML, which will provide the learner with an understanding of how each area of expertise is used in the industry.
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🧾 Open, hands-on AI education program — from Machine Learning to Generative Intelligence. Weekly lessons in Jupyter Notebooks, ready for Google Colab.🧾
Explore Transformer architecture, token-by-token generation, and LLM training through hands-on Python notebooks training workflows with Phi-3.
AI-powered medical imaging system for multi-disease chest X-ray detection,built with EfficientNet deep learning, a FastAPI backend, and an interactive Streamlit dashboard. Deployed on Render for real-time healthcare diagnostics, detecting conditions like Atelectasis, Edema and more.An end-to-end project demonstrating model training,API development.