6330 Open source projects that are alternatives of or similar to Rnn Stocks Prediction

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 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

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)

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

Keras tutorial for beginners (using TF backend)

Activity Recognition from 2D pose using an LSTM RNN

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

A neural network that transforms a design mock-up into a static website.

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

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

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

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

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

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

Generating Dance steps for given music with deep learning

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

All about Neural Networks!

Dataset of The Onion articles and real "Onion-like" news articles from the subreddit r/NotTheOnion, along with a jupyter notebook extracting the dataset and performing classification.

Non-Rigid Point Set Registration Networks

Graph Neural Network Tutorial

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

Optimal transport and generalizations

A fast Python based just-in-time compiling boundary element library

A Julia machine learning framework

DueApe数据科学，Kaggle代码资源分享

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

[DEPRECATED] See the new edition:

Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)

Jupyter notebooks with Flexx examples.

Arxiv Sanity with novel paper search

LSTM trained on the first five ASOIAF/GOT books

An NLP workshop about concrete solutions to real problems

interpret deep learning models in a framework-independent fashion

Course materials for STA663

Data package: renewable power plants

Extracting tabular information from PDFs using python

Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.

함수산책 - 캐글뽀개기 스터디 자료 보관소

Public materials for the Fall 2016 offering of CS145

Downscale a set of images by randomly created kernels and save them

Tutorials for learning OpenCV in Python from Scratch

Applied Machine Learning @ http://amitkaps.com/ml

🎓 Educational application of Hidden Markov Model to Autonomous Driving 🚕🚙🚗

Expanding Explainable K-Means Clustering

A simple deep learning model to add accent to Vietnamese text.

AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow

Skoltech 2017 NLA course

MNIST classification in Tensorflow using Django

12k labelled instances of dogs in-the-wild with 2D keypoint and segmentations. Dataset released with our ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop.

Quick python code to scrape the latest data from all the global surface temperature datasets and return it on a common baseline period.

MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)

A comparative assessment of machine learning classification algorithms applied to poverty prediction

머신러닝야학 - 텐서플로우1 수업을 위한 코드입니다.

Simple algorithm inspired on Renko charts applied to cryptocurrency trading