Popular GitHub Repositories for Qualitative Parameters

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

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"

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)

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.

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

Cutting edge AI technology for automated audio transcription. A nice GUI for OpenAIs Whisper and pyannote (speaker identification)

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)

[ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

[ICLR2025 Spotlight?] Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters

? [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.

Estimate 3D face pose (6DoF) or 11 parameters of 3x4 projection matrix by a Convolutional Neural Network