6244 Open source projects that are alternatives of or similar to Tensorflow On Android For Human Activity Recognition With Lstms

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.

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

Another attempt to use Deep-Learning in the financial markets

文本情感分析

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Hierarchical Attention Networks for Document Classification in PyTorch

Sentiment Analysis with LSTMs in Tensorflow

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

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

The deeplearning algorithms implemented by tensorflow

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Keras tutorial for beginners (using TF backend)

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

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Generating Dance steps for given music with deep learning

Convert TensorFlow models to ONNX

keras를 이용한 딥러닝 기초 학습

Stock Price Prediction using Machine Learning Techniques

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

My Attempt(s) In The World Of ML/DL....

All my experiments with AI and ML

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

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

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

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

Image Captioning using InceptionV3 and beam search

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

Cryptocurrency Price Prediction Using LSTM neural network

Predict Cryptocurrency Price with Deep Learning

Neural Turing Machines (NTM) - PyTorch Implementation

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

Some interesting TensorFlow tutorials for beginners.

List of papers, code and experiments using deep learning for time series forecasting

Implementation of Neural Image Captioning model using Keras with Theano backend

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

All about Neural Networks!

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

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

Application of machine learning to the Coinbase (GDAX) orderbook

Neural machine translator for English2German translation.

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。

PyTorch tutorial for learners

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

LSTM and GRU in PyTorch

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

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。

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

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)

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

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

LSTM-CRF for NER with ConLL-2002 dataset

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

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