1042 Open source projects that are alternatives of or similar to E3d_lstm

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Deep neural networks for predicting CpG methylation

deeplearning.ai , By Andrew Ng, All video link

All DeepLearning4j projects go here.

This repository includes some papers that I have read or which I think may be very interesting.

Semantic Entity Retrieval Toolkit

This is tensorflow implementation for paper "Deep Image Matting"

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

Free Offline OCR 离线的中文文本检测+识别SDK

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Time series prediction with Sequential Model and LSTM units

The implementation of DeBERTa

Paper Reading

an open-source implementation of sequence-to-sequence based speech processing engine

Word Embedding + LSTM + FC

深度学习入门教程, 优秀文章, Deep Learning Tutorial

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Keras implementation of video classifier

Named Entity Recognition using multilayered bidirectional LSTM

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Friendly machine learning for the web! 🤖

Sign Language Recognition for Deaf People

YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO

A Tensorflow based implicit recommender system

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

A Python package for gender classification.

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

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

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

把极速检测器的门槛给我打下来make lightweight caffe-ssd great again

Tree LSTM implementation in PyTorch

The code for the MaD TwinNet. Demo page:

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

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。

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)

convolutional lstm implementation in pytorch

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

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

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

Predict Cryptocurrency Price with Deep Learning

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

PyTorch Tutorial (1.7)

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

copper price(time series) prediction using bpnn and lstm

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

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

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

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

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.