398 Open source projects that are alternatives of or similar to Semanaly

A Benchmark of Text Classification in PyTorch

nlp lecture-notes and source code

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

No description or website provided.

使用深度学习算法实现的中文问答系统

Vanilla LSTM with numpy

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

LSTM sentiment analysis. Please look at my another repo for SVM and Naive algorithem

Friendly machine learning for the web! 🤖

This repo contains a PyTorch implementation of a BiLSTM-CRF model for named entity recognition task.

Neural word segmentation with rich pretraining, code for ACL 2017 paper

RNN-LSTM that learns passwords from a starting list

Train an LSTM to generate piano or violin/piano music.

host load prediction with Long Short-Term Memory in cloud computing

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Recurrent Additive Networks for Tensorflow

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

A Python(PyTorch) implementation of memory augmented neural network based on Ritter et al. (2018). Been There, Done That: Meta-Learning with Episodic Recall. ICML.

Using Machine Learning to predict the type of exercise from movement data

A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)

Neural Turing Machines (NTM) - PyTorch Implementation

LSTM based human activity recognition using smart phone sensor dataset

Time series based anomaly detector

Deep learning driven jazz generation using Keras & Theano!

唐诗、宋词生成器，有详细说明

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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

模仿莎士比亚创作戏剧！屌炸天的是还能创作金庸武侠小说！快star，保持更新！！

custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

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

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

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

A simple effective ToolKit for short text matching

Machine learning, in numpy

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

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

A Python package for gender classification.

To classify video into various classes using keras library with tensorflow as back-end.

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Siamese LSTM for evaluating semantic similarity between sentences of the Quora Question Pairs Dataset.

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.

Haste: a fast, simple, and open RNN library

CNN+LSTM+CTC based OCR implemented using tensorflow.

Traffic Graph Convolutional Recurrent Neural Network

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

An easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

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

Anomaly detection implemented in Keras

基于RNN生成古诗

A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.

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

A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.😏

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

Bangla Machine Translator

Распознавание речи русского языка используя Tensorflow, обучаясь на базе Voxforge