Popular GitHub Repositories for Layer Relevance Propagation

The Memory layer for AI Agents

Probabilistic language based on pattern matching and constraint propagation, 153 examples

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Keras Attention Layer (Luong and Bahdanau scores).

LiveStore is a next-generation state management framework based on reactive SQLite and built-in sync engine.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

? LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). ? Extracts signals from prompts & responses, ensuring safety & security. ?? Features include text quality, relevance metrics, & sentiment analysis. ? A comprehensive tool for LLM observability. ?

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)

An AI memory layer with short- and long-term storage, semantic clustering, and optional memory decay for context-aware applications.

Implementation of the Point Transformer layer, in Pytorch

Draw multi-layer neural network in your browser

Building Convolutional Neural Networks From Scratch using NumPy

TensorFlow Node.js provides idiomatic JavaScript language bindings and a high layer API for Node.js users. TensorFlow Node.js provides idiomatic JavaScript language bindings and a high layer API for Node.js users.

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...