Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.

A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.

Integrate cutting-edge LLM technology quickly and easily into your apps

a small build system with a focus on speed

Inpaint anything using Segment Anything and inpainting models.

LLM inference in C/C

Tensor library for machine learning

A converter that generates a bash one-liner from an SQL Select query (no DB necessary)

A curated list of delightful Bash scripts and resources.

Examples for "Kubernetes Patterns - Reusable Elements for Designing Cloud Native Applications", Second Edition

📚 Jupyter notebook tutorials for OpenVINO™

Autoscaling components for Kubernetes

Bootstrap Kubernetes the hard way. No scripts.

Reference code base for ML Engineering, Manning Publications

A playbook for systematically maximizing the performance of deep learning models.

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Jupyter kernel for the C programming language

Machine learning utilities for model conversion, serialization, loading etc

Code for the paper "A Divide-and-Conquer Approach to the Summarization of Long Documents"

💫 Industrial-strength Natural Language Processing (NLP) in Python

Free MLOps course from DataTalks.Club

Declarative Continuous Deployment for Kubernetes

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Lightweight and Parallel Deep Learning Framework

A collective list of free APIs

All Algorithms implemented in Python

Cross-platform, customizable ML solutions for live and streaming media.

Benchmarking Generalized Out-of-Distribution Detection