276 Open source projects that are alternatives of or similar to address-net

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Haste: a fast, simple, and open RNN library

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

TensorFlow implemenation of GRu4Rec model

This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Alternative approach for Adaptive Computation Time in TensorFlow

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained

Efficient, transparent deep learning in hundreds of lines of code.

Collection of custom layers and utility functions for Keras which are missing in the main framework.

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

机器学习、深度学习、NLP实战项目

Reasoning Over Knowledge Graph Paths for Recommendation

Fantasy name generator in TensorFlow

Hierarchical Attention Networks for Chinese Sentiment Classification

📓 Notes for Andrew Ng's courses on deep learning

Generalised and highly customisable, hybrid-parallelism, database based, deep learning framework.

코딩셰프의 3분 딥러닝, 케라스맛

🏠 Explode one-line address strings using Golang

Deep learning driven jazz generation using Keras & Theano!

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).

Nested LSTM Cell

RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

This repository is a reproduction of the clockwork RNN paper.

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Project 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.

Natural Language Processing with TensorFlow, published by Packt

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

A speech denoise lv2 plugin based on RNNoise library

An experimental web text editor that runs a LSTM model while you write to suggest new lines

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

Generating image captions using Xception Network and Beam Search in Keras

Deep learning for Arabic text Vocalization - التشكيل الالي للنصوص العربية

Online Handwriting Signature Verification using CNN + RNN.

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Training charRNN model for ml5js

Deep learning codes and projects using Python

🧠👨‍💻Deep Learning Specialization • Lecture Notes • Lab Assignments

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

Extrapolate gender from first names using Naïve-Bayes and PyTorch Char-RNN

A cute multi-layer LSTM that can perform like a human 🎶

中文地址提取工具，支持中国三级区划地址（省、市、区）提取和映射，支持地址热力图绘制。

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Uses RNN on the Nietzsche dataset

Extracting addresses from text

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

Tutorial: Multi-layer Recurrent Neural Networks (LSTM, RNN) for text models in Python using TensorFlow.

RNN based Forecasting App for Meta Trader and similar trading platforms

TensorFlow Implementation of TCN (Temporal Convolutional Networks)

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow