long-short-term-memory

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MemoriLabs /Memori

Star11.1k

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

python agent awesome state-management ai memory memory-management hacktoberfest long-short-term-memory rag llm memori-ai hacktoberfest2025 chatgpt aiagent

UpdatedDec 17, 2025
Python

MemMachine /MemMachine

Star2.6k

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.

python agent ai memory personalization knowledge-graph persistent-memory chatbots memory-management agents conversational-agents ai-agents conversational-ai long-short-term-memory llm genai agentic-ai agents-sdk

UpdatedDec 18, 2025
Python

taufeeque9 /HumanFallDetection

Star316

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

deep-learning video-processing lstm neural-networks human-pose-estimation fall-detection long-short-term-memory multiple-cameras python3-fall-detector

UpdatedDec 5, 2025
Python

Rajat-dhyani /Stock-Price-Predictor

Star313

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

python machine-learning deep-learning numpy jupyter-notebook capstone prediction pandas recurrent-neural-networks lstm stock-prices keras-tensorflow neural-network-algorithm long-short-term-memory stock-price-predictor

UpdatedSep 28, 2020
HTML

gionanide /Speech_Signal_Processing_and_Classification

Star253

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…

nlp classifier natural-language-processing feature-extraction nltk gaussian-mixture-models support-vector-machines mfcc principal-component-analysis speech-processing linear-discriminant-analysis isomap spectral-clustering long-short-term-memory kernel-pca spectral-embedding locally-linear-embedding linear-prediction-coefficients speech-utterance

UpdatedMar 3, 2023
Python

LahiruJayasinghe /RUL-Net

Star246

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

regression convolutional-neural-networks sensor-fusion remaining-useful-life long-short-term-memory 1d-convolution lstm-cnn augmentaiton

UpdatedOct 2, 2020
Python

tiberiu44 /TTS-Cube

Star224

End-2-end speech synthesis with recurrent neural networks

text-to-speech neural-network speech character lstm synthesis autoregressive neural phoneme long-short-term-memory mel-spectrogram end-2-end

UpdatedFeb 24, 2024
Python

adobe /stringlifier

Star169

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.

api machine-learning analysis clustering python3 pytorch classification tf-idf convolutional-networks unsupervised-machine-learning long-short-term-memory raw-text

UpdatedMay 20, 2025
Python

FaustoNisida /Chatbot-Long-Short-Term-Memory

Star166

GPT-3 Chatbot with Long and Short Term Memory and advanced logic built in javascript with openai API - short and long memory, KYC, embeddings, openai, database, flexible, gpt-3.5-turbo, react

react javascript programming ai memory chatbot databases embeddings artificial-intelligence openai long-short-term-memory openai-api gpt-3-5-turbo

UpdatedJan 18, 2025
JavaScript

zhuofupan /Tensorflow-Deep-Neural-Networks

Star142

用Tensorflow实现的深度神经网络。

tensorflow convolutional-neural-network tsne deep-belief-network long-short-term-memory recurrent-neural-network stacked-autoencoder stacked-sparse-autoencoder stacked-denoising-autoencoders

UpdatedAug 15, 2022
Python

Zeeshanahmad4 /chatgpt-knowledge-base-chatbot

Star125

An advanced chatbot that utilizes your own data to provide intelligent ChatGPT-style conversations using gpt-3.5-turbo and Ada for advanced embedding, as well as custom indexes and knowledgebase for a seamless user experience.

qa machine-learning chatbot embeddings artificial-intelligence openai vectors knowledge-base pinecone long-short-term-memory qabot gpt-3 openai-api chatgpt openai-chatgpt gpt-3-5-turbo

UpdatedAug 25, 2024
TypeScript

YangWangsky /tf_EEGLearn

Star78

A tensorflow implementation for EEGLearn

deep-learning convolutional-neural-networks long-short-term-memory eeg-classification

UpdatedAug 8, 2019
Python

Sk70249 /Wind-Energy-Analysis-and-Forecast-using-Deep-Learning-LSTM

Star76

A Deep Learning model that predict forecast the power generated by wind turbine in a Wind Energy Power Plant using LSTM (Long Short Term Memory) i.e modified recurrent neural network.

data-science machine-learning deep-neural-networks deep-learning recurrent-neural-networks lstm time-series-analysis wind-energy long-short-term-memory rolling-forecast

UpdatedJul 5, 2020
Jupyter Notebook

guangyizhangbci /EEG_Riemannian

Star71

IEEE Transactions on Emerging Topics in Computational Intelligence

deep-learning feature-engineering motor-imagery-classification eeg-analysis affective long-short-term-memory riemannian-geometry vigilance-estimation

UpdatedApr 15, 2025
Python

sankalpjain99 /Automatic-Essay-Scoring

Star65

Created a web app that can automatically score essays. The grading model was trained using HP Essays Dataset from Kaggle. Used Long Short Term Memory (LSTM) network and machine learning algorithms to train model. WebApp was created using Flask framework.

natural-language-processing machine-learning-algorithms flask-application essayscoring long-short-term-memory

UpdatedJul 6, 2020
Jupyter Notebook

yxtay /char-rnn-text-generation

Star61

Character Embeddings Recurrent Neural Network Text Generation Models

deep-learning neural-network mxnet chainer tensorflow keras text-generation pytorch character-embeddings long-short-term-memory recurrent-neural-network

UpdatedMay 17, 2019
Python

thenomaniqbal /Traffic-flow-prediction

Star37

Long Short-Term Memory(LSTM) is a particular type of Recurrent Neural Network(RNN) that can retain important information over time using memory cells. This project includes understanding and implementing LSTM for traffic flow prediction along with the introduction of traffic flow prediction, Literature review, methodology, etc.

deep-learning traffic-analysis lstm long-short-term-memory lstm-neural-network traffic-flow-prediction traffic-flow-forecasting traffic-flow-modeling metro-interstate-traffic-volume