Popular GitHub Repositories for Normalized

(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"

Official code for "A Normalized Gaussian Wasserstein Distance for Tiny Object Detection"

R package providing annotators and a normalized data model for natural language processing

Pytorch implementation of "TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut"

Unofficial Pytorch implementation of SNAC: Speaker-normalized affine coupling layer in flow-based architecture for zero-shot multi-speaker text-to-speech

This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets

Official code for "DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut", NeurIPS 2024

A Named Entity Recognition + Entity Linker + Relation Extraction Pipeline built using spacy v3. Given a text, the pipeline will extract entities from the text as trained and will disambiguate the entities to its normalized form through an Entity Linker connected to a Knowledge Base and will assign a relation between the entities, if any.

The proposed system will be able to predict the crop yield production which will be useful to farmers for harvesting and storage. The system will use the weather forecasting which includes the parameters like temperature, rainfall, humidity, dew point and the normalized difference vegetation index time series from Sentinel-2 satellite for selected region. By using both the results obtained,accurate crop yield prediction can be calculated which will help farmers in planning efficiently, minimize costs and maximize yields—and profits—as a result.

Official implementation of the paper "AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans"

A (nicer) tokenizer you want to use for model inference and training: with all known peventable gotchas normalized or auto-fixed.

This work proposes a hierarchically normalized physics-informed neural network (hnPINN) to solve PDE problems.

Implementaion of Dynamically Normalized Physics-Informed Neural Networks in TensorFlow

This project focuses on the prediction of lung cancer using multiple machine learning models and comparing their performances. The dataset used for this project consists of various features related to lung cancer, which were preprocessed, normalized, and then used for training different classifiers.

Implementation of Fundamental Image Processing Techniques

An implementation from the state-of-the-art family of reinforcement learning algorithms Proximal Policy Optimization using normalized Generalized Advantage Estimation and optional batch mode training. The loss function incorporates an entropy bonus.

Code and models used in my Bachelor’s Degree Thesis about large text similarity measures are here. The similarities have been combined with machine learning based embeddings. This repository also contains raw results obtained from tasks/experiments.

This repo aims to train neural networks with pytorch. The data are normalized insede the class. The validation is performed automatically. The output model gets the unscaled data and returns the output unscaled (The scaling is performed inside). This way the user do not interact the scaling,; however the user can select to not use the default scaling and scale the data before the training

Facial Keypoint Detection using PyTorch and a modified VGG16 architecture. This project identifies 68 facial landmarks—covering eyes, nose, mouth, jawline, and eyebrows—on human faces. The model is trained on normalized keypoints with adaptive pooling, custom dataset handling, and transfer learning.

UHSR (Unified Hyperbolic Spectral Retrieval) is a next-generation hybrid text retrieval framework that combines BM25 (Lexical Search) with FAISS/Pinecone (Semantic Search), enhanced by Spectral Re-Ranking & AI-Powered Reranking. It supports multiple similarity metrics, provides interpretable normalized scores, & is designed for scalability & speed.