SQL Native Memory Layer for LLMs, AI Agents & Multi-Agent Systems

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.

Real-time, Multi-person & Multi-camera Fall Detector in Python

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can…

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

End-2-end speech synthesis with recurrent neural networks

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

用Tensorflow实现的深度神经网络。

A tensorflow implementation for EEGLearn

IEEE Transactions on Emerging Topics in Computational Intelligence

Character Embeddings Recurrent Neural Network Text Generation Models

HippocampAI — Autonomous Memory Engine for LLM Agents

Attention-based Hybrid CNN-LSTM and Spectral Data Augmentation for COVID-19 Diagnosis from Cough Sound

Time-series prediction with LSTNet in Apache MXNet Gluon

The repository contains all the code for the paper amino acid encoding using deep learning application

Source Code Generation Based On User Intention Using LSTM Networks

A collection of 25+ PyTorch-compatible implementations of recurrent layers

Based on a Hybrid CNN-LSTM Network, an automated predicitve algorithm is constructed.

本科毕业设计 - 基于数据解析的化工生产过程诊断

Large-scale Exploration of Neural Relation Classification Architectures