1096 Open source projects that are alternatives of or similar to Textclassifier

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

HDLTex: Hierarchical Deep Learning for Text Classification

RMDL: Random Multimodel Deep Learning for Classification

all kinds of text classification models and more with deep learning

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Text Classification Algorithms: A Survey

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Top 200 deep learning Github repositories sorted by the number of stars.

A Neural Networking library based on NumPy only

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

ECG classification programs based on ML/DL methods

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Implementation of Very Deep Convolutional Neural Network for Text Classification

Deep learning codes and projects using Python

TensorFlow Tutorials

Important paper implementations for Question Answering using PyTorch

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

CNN for Chinese Text Classification in Tensorflow

A curated list of dedicated resources and applications

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

An original implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)

PyTorch tutorial for learners

R interface to the keras library

ConText v4: Neural networks for text categorization

videos, lectures, blogs for Deep Learning

Deep learning for price movement prediction using high frequency limit order data

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Anomaly detection implemented in Keras

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

keras project that parses and analyze english resumes

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

Deep-Learning Model Exploration and Development for NLP

VIP cheatsheets for Stanford's CS 230 Deep Learning

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

Chainer implementation of Deepmind's Visual Attention Model paper

A Neural Network based Chatbot

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

TensorFlow and Deep Learning Tutorials

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Simple and comprehensive tutorials in TensorFlow

NLP tutorial

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

Visualizing RNNs using the attention mechanism

Implementation of State-of-the-art Text Classification Models in Pytorch

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

Biologically-realistic recurrent convolutional neural networks

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

This is an open sourced book on deep learning.

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list