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Rajat-dhyani / Stock-Price-Predictor

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

Updated Sep 28, 2020
HTML

taufeeque9 / HumanFallDetection

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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

Updated Sep 29, 2024
Python

gionanide / Speech_Signal_Processing_and_Classification

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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

Updated Mar 3, 2023
Python

LahiruJayasinghe / RUL-Net

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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

Updated Oct 2, 2020
Python

tiberiu44 / TTS-Cube

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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

Updated Feb 24, 2024
Python

adobe / stringlifier

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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

Updated Apr 8, 2024
Python

FaustoNisida / Chatbot-Long-Short-Term-Memory

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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

Updated May 5, 2023
JavaScript

zhuofupan / Tensorflow-Deep-Neural-Networks

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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

Updated Aug 15, 2022
Python

Zeeshanahmad4 / chatgpt-knowledge-base-chatbot

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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

Updated Aug 25, 2024
TypeScript

YangWangsky / tf_EEGLearn

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A tensorflow implementation for EEGLearn

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

Updated Aug 8, 2019
Python

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

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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

Updated Jul 5, 2020
Jupyter Notebook

yxtay / char-rnn-text-generation

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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

Updated May 17, 2019
Python

guangyizhangbci / EEG_Riemannian

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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

Updated Dec 2, 2023
Python

sankalpjain99 / Automatic-Essay-Scoring

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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

Updated Jul 6, 2020
Jupyter Notebook

thenomaniqbal / Traffic-flow-prediction

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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 lstm long-short-term-memory lstm-neural-network traffic-flow-prediction traffic-flow-forecasting traffic-flow-modeling