Popular GitHub Repositories for Cyber Rank

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

:octocat: Machine Learning for Cyber Security

A Python implementation of LightFM, a hybrid recommendation algorithm.

Deep recommender models using PyTorch.

Learning to Rank in TensorFlow

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

[ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

allRank is a framework for training learning-to-rank neural models based on PyTorch.

FaceRank - Rank Face by CNN Model based on TensorFlow (add keras version). FaceRank-人脸打分基于 TensorFlow (新增 Keras 版本) 的 CNN 模型（QQ群：167122861）。技术支持：http://tensorflow123.com

The most easy-to-understand tutorial for using LoRA (Low-Rank Adaptation) within diffusers framework for AI Generation Researchers?

Automatic summarizer text in Swift

Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

Your ? Superintelligence

Low-rank adaptation for Erasing COncepts from diffusion models.

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and prediction, etc.

My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.