Showing 21-40 of 59 projects
A collection of Jupyter Notebook tutorials on solving real-world problems with machine learning and deep learning using PyTorch.
A PyTorch-based project for developing state-of-the-art speech recognition systems using the Kaldi toolkit.
A PyTorch toolkit for training and evaluating LSTM and QRNN language models.
Predicts stock market prices using a recurrent neural network (RNN) model with multilayer LSTM cells.
This is a tutorial on using deep learning for natural language processing with PyTorch.
Named Entity Recognition (NER) library for Tensorflow, using LSTM + CRF for state-of-the-art performance.
Predictive stock trading using unsupervised and supervised learning techniques in Python.
NCRF++: A Neural Sequence Labeling Toolkit for tasks like NER, POS tagging, and text chunking.
Minimal, clean example of LSTM neural network training in Python for learning purposes.
A TensorFlow template application for building deep learning models and deploying them to production.
Self-contained Machine Learning and Natural Language Processing library in Go
A collection of tutorials and implementations for various deep learning algorithms using TensorFlow.
Chinese Named Entity Recognition (NER) library using Lattice LSTM model, built for AI/ML developers.
A curated list of deep learning resources, including topics like CNN, LSTM, and TensorFlow.
A repository of machine learning and Tensorflow deep learning models for natural language processing problems.
A Python library for sentiment analysis on tweets using various machine learning models.
This repository provides a dual LSTM encoder model for generating dialog responses using machine learning.
A library of pre-trained LSTM models for optical character recognition (OCR) tasks.
This repository provides implementations of different architectures for emotion recognition in conversations.
A Python library for named-entity recognition, part-of-speech tagging, and other NLP tasks using LSTM-CRF and ELMo models.
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