ml-training

45 rigorous skills for Codex, OpenCode, and Pi: code review, security audit, feature development, frontend design, MCP tools, Hugging Face ML/training, and more.

Updated Aug 3, 2026
Python

utsaslab / MONeT

Star

MONeT framework for reducing memory consumption of DNN training

machine-learning deep-neural-networks dnn pytorch memory-consumption dnn-training ml-training

Updated May 4, 2021
Python

RitechSolutions / genassist

Star

GenAssist combines orchestration, runtime, analytics, and learning — in one open platform.

ai conversation-ai ml-training llm llm-finetuning agentic-workflow agentic-ai multi-ai-providers

Updated Aug 3, 2026
Python

willyfh / mlops-workflow

Star

An MLOps workflow for training, inference, experiment tracking, model registry, and deployment.

machine-learning deployment postgresql pytorch minio mlops mlflow fastapi experiment-tracking ml-training ml-inference

Updated Nov 24, 2025
Python

entrpn / serving-model-cards

Star

Collection of OSS models that are containerized into a serving container

machine-learning gcp ml dataflow clip blip machine-learning-models esrgan huggingface ml-serving t5 ml-training huggingface-transformers hugging-face vertex-ai vertexai stable-diffusion huggingface-diffusers dreambooth

Updated Sep 19, 2023
Python

kube-nexus / kubenexus-scheduler

Star

Topology-aware Kubernetes scheduler for multi-tenant, heterogeneous clusters

kubernetes scheduler scheduling distributed-computing kubernetes-scheduler toplogy kubeflow spark-operator gang-scheduling numa-aware ml-training gpu-scheduling k8s-scheduling-framework

Updated Apr 30, 2026
Go

tracebloc / start-training

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tracebloc notebook to launch and manage experiments in collaboration

machine-learning jupyter-notebook training-pipeline ml-training tracebloc

Updated Aug 3, 2026
Jupyter Notebook

MisterZurg / academy_yandex_Machine-Learning-Training

Star

⌨️ Solutions to Academy Yandex "Тренировки по Machine Learning"

nlp yandex ml shad ml-training yandex-training

Updated Oct 2, 2024
Python

Beamline is a tool for fast data generation for your AI/LLM/ML model training, simulation, and testing use-cases. It generates reproducible pseudo-random data using a stochastic approach and probability distributions, meaning you can create realistic datasets that follow specific mathematical patterns.

testing simulation fuzz-testing stochastic-processes query-generator ml-training llm-training model-training-and-tuning

Updated Jul 31, 2026
Rust

bodywork-ml / bodywork-pipeline-with-aporia-monitoring

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Integrating Aporia ML model monitoring into a Bodywork serving pipeline.

python kubernetes machine-learning mlops ml-serving ml-training ml-monitoring

Updated Jun 20, 2022
Jupyter Notebook

iverbovoy / pgolf-dashboard

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Real-time training dashboard for OpenAI Parameter Golf challenge. Single-file, zero-config.

python monitoring dashboard fastapi ml-training parameter-golf

Updated Apr 8, 2026
Python

supermarsx / smart-pdf-md

Sponsor

Star

Smart Script to Mass Convert PDF .pdf to Markdown .md

python training windows macos linux markdown pdf machine-learning ai script gpt knowledge-base marker file-conversion md ml-training llm custom-gpt

Updated Apr 21, 2026
Python

davidliyutong / mlflow-docker

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Self-Hosted MLFlow Docker Image with MySQL and S3 support

docker mlflow ml-training

Updated May 10, 2026
Python

jgddesigns / stateshaper

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Create a memorized array of unlimited numbers from a small seed. The output can be tokenized and used in code to derive values. Useful for synthetic data, personalization, world building and more.