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vlada-pv / Prediction-Sociolinguistic-Data-Based-on-the-Diaries-Texts-of-the-Prozhito-Project

The repository contains notebooks created for collecting and preprocessing the corpus of diary entries and for experiments on creating models for predicting gender, age groups of authors and the time period of text creation.

deep-learning word-embeddings recurrent-neural-networks naive-bayes-classifier neural-networks bag-of-words logistic-regression convolutional-neural-networks diary-entries sociolinguistics text-vectorization bilstm tf-idf-vectorizer text-preprocessing convol author-profiling

Updated Jun 12, 2024
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Parvezkhan0 / Tesla-Stock-Forecasting-Using-LTSM

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This repository features notebooks and datasets for predicting Tesla (TSLA) stock prices using LSTM models. Explore historical data, forecast trends, and gain insights into TSLA's market movements.

python machine-learning data-visualization recurrent-neural-networks kaggle forecasting financial-data time-series-analysis stock-market-prediction long-short-term-memory

Updated Jun 11, 2024
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TruongNhanNguyen / handson-ml3

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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

training natural-language-processing deep-learning deployment machine-learning-algorithms recurrent-neural-networks reinforcement-learning-algorithms convolutional-neural-networks classification-algorithm supervised-machine-learning unsupervised-machine-learning regression-algorithms

Updated Jun 5, 2024
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tstran155 / Prediction-of-mineral-scaling-from-produced-water-composition

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In this notebook, I built gradient boosting classifier and LSTM model to classify and predict the mineral scaling potential of formation water in US shale basins.

recurrent-neural-networks gradient-boosting multiclass-classification geochemistry

Updated May 4, 2024
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federicoparroni / recsys2019

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The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

challenge recurrent-neural-networks xgboost recommender lightgbm learning-to-rank acm recommender-system recommender-systems recommendation-algorithms catboost tensorflow-ranking

Updated Apr 3, 2024
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K0mp0t / DNN_Model_optimization

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Some DNN model optimization experiments and notebooks

deep-neural-networks recurrent-neural-networks convolutional-neural-networks onnxruntime model-optimization pruning-optimization

Updated Nov 9, 2023
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flo7up / relataly-public-python-tutorials

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Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

python twitter-bot data-science machine-learning reinforcement-learning deep-learning time-series neural-network recurrent-neural-networks feature-selection openai neural-networks stock-price-prediction churn-prediction keras-tensorflow stock-market-prediction time-series-prediction time-series-forecasting scikit-learn-python openai-api

Updated Aug 9, 2023
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soroushmirzaei / projects-notebook-templates

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Deep Learning Machine Learning Templates

machine-learning deep-neural-networks deep-learning recurrent-neural-networks convolutional-neural-networks long-short-term-memory gated-recurrent-unit

Updated Jul 24, 2023
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leonardoLavagna / PyTorch-Notebooks

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A series of notebooks to familiarize with some important data processing and analysis pipelines based on PyTorch

machine-learning computer-vision deep-learning pytorch recurrent-neural-networks tr convolutional-neural-networks transfer-learning regression-models experiment-tracking

Updated Dec 2, 2022
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sourcecode369 / unconventional-neural-networks

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Implementation notebooks and scripts of Artistic CNN Models and Generative Models like GANs, VAEs, GMMs, Boltzmann Machine etc. in TensorFlow, and Python. This repo aims to understand and make amazing things out of Neural Network layers.

python tensorflow keras pytorch recurrent-neural-networks generative-adversarial-network neural-networks autoencoder convolutional-neural-networks boltzmann-machines attention-mechanism variational-autoencoder generative-models neural-style-transfer

Updated Nov 22, 2022
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sourcecode369 / computer-vision

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Implementation notebooks and scripts of the computer vision nanodegree program from udacity in pytorch.

python opencv computer-vision deep-learning neural-network pytorch recurrent-neural-networks convolutional-neural-networks

Updated Nov 22, 2022
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salehsargolzaee / LSTM-for-Sentiment-Analysis

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In this notebook, I implemented a recurrent neural network (Long short-term memory) using PyTorch that performs sentiment analysis.

deep-learning sentiment-analysis pytorch recurrent-neural-networks embeddings lstm neural-networks long-short-term-memory

Updated May 1, 2022
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benjaminweymouth / Neural_Networks_Stock_Predictor

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Python Jupyter notebooks for building and evaluating deep learning models using both the FNG values and simple closing prices to determine if the FNG indicator provides a better signal for cryptocurrencies than the normal closing price data.

deep-learning recurrent-neural-networks lstm rnn lstm-neural-networks fng fear-and-greed fngindex

Updated Feb 11, 2022
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lionelsamrat10 / Deep-Learning-A-to-Z

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This repository contains all the Google Colab Notebooks where I have implemented different Neural Networks like ANN, CNN, RNN, and also other Deep Learning models such as Self-organizing Maps, Autoencoders, Boltzmann Machines, etc.

deep-learning recurrent-neural-networks neural-networks artificial-neural-networks convolutional-neural-networks boltzmann-machines autoencoders self-organizing-map

Updated Nov 15, 2021
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snrazavi / Deep-Learning-for-NLP

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Contains different course tutorials and jupyter notebook file for applying different Deep Learning models in different NLP tasks such as text classification, summarization, translation, etc.

nlp machine-learning deep-learning sentiment-analysis text-classification machine-translation transformers recurrent-neural-networks transformer text-summarization lstm-neural-network

Updated Sep 17, 2021
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georgiosouzounis / deep-learning-lectures

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Google Colab notebooks and sample datasets for the intensive Crash Course in Deep Learning at Kaunas University of Applied Sciences, Kaunas, Lithuania

data-science deep-learning recurrent-neural-networks neural-networks stock-price-prediction image-classification convolutional-neural-networks churn-prediction lithuania kaunas