348 Open source projects that are alternatives of or similar to Caver

【微信公众号：大邓和他的python】, Python语法快速入门https://www.bilibili.com/video/av44384851 Python网络爬虫快速入门https://www.bilibili.com/video/av72010301, 我的联系邮箱[email protected]

The missing SVM-based text classification module implementing HanLP's interface

A Python implementation of a binary text classifier using Doc2Vec and SVM

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

A ready to go text classification trainer based on synaptic (https://github.com/cazala/synaptic)

DeepClassifier is aimed at building general text classification model library.It's easy and user-friendly to build any text classification task.

Text Classification in Turkish Texts with Bert

Summary of my projects on kaggle

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

Building a text classifier with extremely small datasets

Python for Text Classification with Machine Learning in Python 3.6.

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)

A PyTorch-based toolkit for natural language processing

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(ICCV, 2021) paper

General Multi-label Image Classification with Transformers

machine-learning tensorflow multi-label-classification

Camouflaged Object Detection, CVPR 2020 (Oral & Reported by the New Scientist Magazine)

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

PyTorch implementation of batched bi-RNN encoder and attention-decoder.

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Attention mechanism Implementation for Keras.

Bidirectional LSTM network for speech emotion recognition.

attention model for entailment on SNLI corpus implemented in Tensorflow and Keras

code of Relation Classification via Multi-Level Attention CNNs

Soft attention mechanism for video caption generation

Code & data accompanying the NAACL 2019 paper "Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases"

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

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

Image Captioning based on Bottom-Up and Top-Down Attention model

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

ECG Classification

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

Deep Visual Attention Prediction (TIP18)

计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Machine Reading Comprehension in Tensorflow

Neural Machine Translation with Keras

A Structured Self-attentive Sentence Embedding

Attention OCR Based On Tensorflow

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

This repository implements the the encoder and decoder model with attention model for OCR

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"