Stock Trader to predict high frequecy stocks
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Updated
Jun 5, 2020 - Python
Stock Trader to predict high frequecy stocks
Using NLP, with a Seq2Seq model, translation from Deutch to English
This colab`s notebook contains pipeline for creating one-to-one machine translation model based on Seq2SeqTransformer
Character-level RNN for tagging chemical entities in unparsed text.
Sequence-to-Sequence Deep Learning approach to Machine Translation
A Seq2seq Natural Machine Translation
This repository describes NLTK methodology applied to Machine Learning
Huet.AI é um app que faz tradução de Língua Brasileira de Sinais (Libras) para língua portuguesa utilizando IA.
Implement a sequence to sequence (seq2seq) model and analyze the models' performance.
chatbot using tensor flow seq2seq model
Deepword - This is a WIP repo, no results yet :)
Use a Seq2Seq model to Train a ChatBot
This repository is dedicated to generating art and poetry using deep learning models
Song is here, sing a song!! Generate a custom song using the model trained on 5500K+ song lyrics.
Hindi to English translation using Seq2Seq with attention mechanism model
Seq2Seq Model for Machine Translation, there are two versions of the same model, the second model uses transfer learning to get weights from the RNN.
This project is focused on word to to word transliteration from English to Indic languages and vice-versa. . This was done using seq2seq architecture using **LSTM** and **GRU** and **LSTM with Bahdanau Attention mechanism**.
Thesis scope: Train and Develop a Table-to-Text Transformer-based model for contextual summarization of tabular data. To achieve this T5-small , T5-base, Bart-base and Llama2 7B chat were finetuned on ToTTo and QTSumm. Regarding ToTTo, the models outperformed the benchmark.
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