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Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including Cloud, LLMs, WireGuard, Automation, Home Assistant, and Networking.
The Cloud Native AI Platform
A curated list to learn about distributed systems
AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Open Machine Learning Course
mal - Make a Lisp
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Build, Manage and Deploy AI/ML Systems
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Instant Kubernetes-Native Application Observability
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Open Source Marketplace For Developer Tools
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
AI Infra / AI Orchestration / AI Control Plane
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Accelerated deep learning R&D
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
A deliberately vulnerable CI/CD environment. Learn CI/CD security through multiple challenges.