Popular GitHub Repositories for Hyper Parameters

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

A Streamlit-powered Chat Assistant utilizing Ollama's DeepSeek-R1 (1.5B) model for intelligent, context-aware conversations. Designed with an interactive chat interface, adjustable model parameters. It leverages Ollama for local model serving and Streamlit for a responsive UI for text-based interactions.

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

A Julia machine learning framework

Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Open-source implementation of Google Vizier for hyper parameters tuning

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO?

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

A fast and powerful image/video browser for Stable Diffusion webui / ComfyUI / Fooocus / NovelAI / StableSwarmUI, featuring infinite scrolling and advanced search capabilities using image parameters. It also supports standalone operation.

An autoML framework & toolkit for machine learning on graphs.

The OpenCog (hyper-)graph database and graph rewriting system

This extension is developed for AUTOMATIC1111's Stable Diffusion web UI that provides import/export options for parameters.

The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)