849 Open source projects that are alternatives of or similar to Vdcnn

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

Music recommender using deep learning with Keras and TensorFlow

📚 Text classification library with Keras

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

lock mechanism with face recognition and liveness detection

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

CNN for Chinese Text Classification in Tensorflow

Text Classification in Turkish Texts with Bert

Text classifier for Hierarchical Attention Networks for Document Classification

all kinds of text classification models and more with deep learning

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

HDLTex: Hierarchical Deep Learning for Text Classification

Generating Captions for images using Deep Learning

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Text Classification Algorithms: A Survey

Sign Language Recognition for Deaf People

RMDL: Random Multimodel Deep Learning for Classification

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

ConText v4: Neural networks for text categorization

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

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

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Important paper implementations for Question Answering using PyTorch

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Labeled images of the Where's Waldo puzzle for use in classification and image recognition problems.

SHAInet - a pure Crystal machine learning library

transform multi-label classification as sentence pair task, with more training data and information

Quantization of Convolutional Neural networks.

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

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

"20 Newsgroups" text classification with python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

CNN image classifier implemented in Keras Notebook 🖼️.

Timeception for Complex Action Recognition, CVPR 2019 (Oral Presentation)

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

Weakly Supervised Deep Detection Networks (CVPR 2016)

对收集的法律文档进行一系列分析，包括根据规范自动切分、案件相似度计算、案件聚类、法律条文推荐等（试验目前基于婚姻类案件，可扩展至其它领域）。

Be Driven 🚘

Lung fields segmentation on CXR images using convolutional neural networks.

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

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

Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)

A binary library for very fast face detection using compact CNNs.

Fast Neural Style Transfer implementation in PyTorch 🎨 🎨 🎨

export bert model for serving

Deep neural network to extract intelligent information from invoice documents.

Crack detection for an autonomous UAV

rstudio::conf(2020) deep learning workshop

easy convolution neural network

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

Real time face alignment

Hiding Images within other images using Deep Learning

Reproduce CheXNet