1134 Open source projects that are alternatives of or similar to Cnn Text Classification Keras

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

Context-Dependent Sentiment Analysis in User-Generated Videos

Natural language detection library for Rust. Try demo online: https://www.greyblake.com/whatlang/

Natural Language Processing (NLP) library for Crystal

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Attention-guided CNN for image denoising(Neural Networks,2020)

Sequence-to-Sequence Framework in PyTorch

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

Paper reading notes on Deep Learning and Machine Learning

这是一款基于web的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持文本的迭代标注和实体的嵌套标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验和调整，提高了标注语料的准确率和可靠性。

Open Source research tool to search, browse, analyze and explore large document collections by Semantic Search Engine and Open Source Text Mining & Text Analytics platform (Integrates ETL for document processing, OCR for images & PDF, named entity recognition for persons, organizations & locations, metadata management by thesaurus & ontologies, search user interface & search apps for fulltext search, faceted search & knowledge graph)

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

"20 Newsgroups" text classification with python

The Places365-CNNs for Scene Classification

3-day dive into deep learning at csc

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

PSPNet implemented in PyTorch for single-person human parsing task, evaluating on Look Into Person (LIP) dataset.

NLP Tensorflow Tutorials

基于视频的目标检测算法研究

Deep Learning Toolkit for Medical Image Analysis

A curated list of background subtraction related papers and resources

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

采用CNN将高分辨率灰度图像和低分辨率彩色图像合成为高分辨率彩色图像的图像融合算法

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

An overview of the AI-as-a-service landscape

🔥 Reproducibly benchmarking Keras and PyTorch models

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

A specially designed light version of Fast AutoAugment

CNN+LSTM+CTC based OCR implemented using tensorflow.

Official Ruby client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Ruby apps.

Chinese & English Cws Pos Ner Entity Recognition implement using CNN bi-directional lstm and crf model with char embedding.基于字向量的CNN池化双向BiLSTM与CRF模型的网络，可能一体化的完成中文和英文分词，词性标注，实体识别。主要包括原始文本数据，数据转换,训练脚本,预训练模型,可用于序列标注研究.注意：唯一需要实现的逻辑是将用户数据转化为序列模型。分词准确率约为93%，词性标注准确率约为90%，实体标注（在本样本上）约为85%。

Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Network复现

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

FaceBoxes for hand detection in PyTorch

Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Code examples for new APIs of iOS 10.

Cache design for CNN on mobile

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

股市情感分析

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.

Curated List: Practical Natural Language Processing done in Ruby

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Opinion mining of Mobile reviews on Amazon platform

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

Deep Learning For Computer Vision With Python

Python implementation of bag-of-concepts