Popular GitHub Repositories for Cosine Distance

自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用

High-fidelity performance metrics for generative models in PyTorch

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/

Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

Blazing fast framework for fine-tuning similarity learning models

PyTorch Implementation for Deep Metric Learning Pipelines

Music recommender using deep learning with Keras and TensorFlow

Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine

?This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)

Text2Text Language Modeling Toolkit

Quick implementation of nGPT, learning entirely on the hypersphere, from NvidiaAI

An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io

We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.

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

Vector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.

A blazing-fast semantic search React component. Match by meaning, not just by letters. Search as you type without waiting (no debounce needed). Rank by cosine similarity.

Implementation of fused cosine similarity attention in the same style as Flash Attention