Real-time noise suppression for audio using Dual-Signal Transformation LSTM Network (DTLN)

LSTM Genetic Neural Network Implementation in TypeScript

Model Context Protocol server for InvestBuddy AI - Validated LSTM predictions with +15.92% alpha over S&P 500

Model Context Protocol server for InvestBuddy AI - Validated LSTM predictions with +15.92% alpha over S&P 500

Neural forecasting library with 27+ models (NHITS, LSTM, Transformers) for time series prediction

A complete deep learning library for JavaScript — Dense, CNN, RNN/LSTM/GRU, Attention, GPU acceleration, and ESP32 deployment. By CavyIoT.

Deep Learning Classification, LSTM Time Series, Regression and Multi-Layered Perceptrons with Tensorflow

NanoMind RuntimeTwin: behavioral twin (LSTM) for ARP anomaly detection. Canonical home of the LSTM scorer referenced in NANOMIND_V3_AUDIT.md Section 9 item 1.

Deep Learning Classification, LSTM Time Series, Regression and Multi-Layered Perceptrons with Tensorflow

Train a brain.js LSTM on text.

LSTM implementation in JS

AI-powered cryptocurrency price predictions using LSTM neural networks — an agent tool for SperaxOS.

Deep Learning Classification, LSTM Time Series, Regression and Multi-Layered Perceptrons with Tensorflow

TypeScript + Rust Native machine learning library. Matrix ops, layers (Dense, Embedding, RNN, LSTM, GRU, MultiHeadAttention, etc), models (Sequential, Transformers), dan BPE tokenizer.

OpenMCP follows a layered modular architecture with three main deployment targets:

architecture-free neural network library

OneBot v11 protocol channel plugin for OpenClaw (QQ/Lagrange.Core/go-cqhttp)

No description provided.

Run Keras models in the browser, with GPU support using WebGL

Academic slidev theme for USTC Miracle Lab 🎓