1229 Open source projects that are alternatives of or similar to Lstm Context Embeddings

Sarcasm detection on tweets using neural network

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

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

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

A High-Quality Real Time Upscaler for Anime Video

🥕 Evolutionary Neural Networks in JavaScript

stock predict by cnn and lstm

Image Captioning using InceptionV3 and beam search

Visualisations for Convolutional Neural Networks in Pytorch

A Benchmark of Text Classification in PyTorch

Machine learning, in numpy

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Anomaly detection for temporal data using LSTMs

Deep learning codes and projects using Python

Sentiment Analysis: Deep Bi-LSTM+attention model

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Keras tutorial for beginners (using TF backend)

Predict Cryptocurrency Price with Deep Learning

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Implementation of papers for text classification task on DBpedia

in progress

This toolbox is support material for the book on CNN (http://www.convolution.network).

The Official Deep Learning Framework for Route-based Place Recognition

Datasets, tools, and benchmarks for representation learning of code.

Implementation of Neural Image Captioning model using Keras with Theano backend

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

FastText for Node.js

Deep Learning Toolkit for Medical Image Analysis

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

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

Deep learning driven jazz generation using Keras & Theano!

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

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

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

CNN+LSTM+CTC based OCR implemented using tensorflow.

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Visualization toolkit for neural networks in PyTorch! Demo -->

TensorFlow and Deep Learning Tutorials

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。

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Some interesting TensorFlow tutorials for beginners.

QA - Answer Selection (Rank candidate answers for a given question)

Implementation of Quickdraw - an online game developed by Google

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

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

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

OCR engine for all the languages

SincNet is a neural architecture for efficiently processing raw audio samples.

All about Neural Networks!