A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
MuskanAi is a personal Digital Assistant which is capable of performing all Automation task whether it is Controlling your Devices, Browsing the Internet and Emotional Understanding..
Explore our "LLM Tutorials" GitHub repository for comprehensive guides on using large language models (LLMs) like Llama 2 with PyTorch. Discover practical examples, code snippets, and expert insights to enhance your NLP projects with the latest techniques in language modeling.
🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Text Processing RNN leverages RNN and LSTM models for advanced text processing. It features deep learning techniques for NLP tasks, utilizing GloVe for word embeddings, aimed at both educational and practical applications.
Education purpose project to create a recomendation posts service for random social network / Учебный проект по созданию рекомендательной системы постов в рамках программы Karpov.Courses Start ML.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
RiverText is a framework that standardizes the Incremental Word Embeddings proposed in the state-of-art. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!
2023 캡스톤디자인 5조
ChatBot utilizing neural networks, NLP techniques, and the Bag of Words model. Implements tokenization and stemming for efficient language processing.
Basic Utilities for PyTorch Natural Language Processing (NLP)
Built an NLP pipeline and integrated a neural network model using PyTorch. Utilises Relu activation function with 3 linear layers. Intent is to build on this project to create dynamic NPC's in games.
The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
Hashtag multilabel classification with machine learning and deep learning models
This App predicts author's sentiment and personality traits by analyzing simple text input he or she writes. M1 Macbook Optimized Pytorch Neural Network Models.
Implementing nlp papers relevant to classification with PyTorch, gluonnlp
The Wikipedia of Twitter and the Google Equivalent for Sentiment search
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