826 Open source projects that are alternatives of or similar to Stock Price Prediction Lstm

Anomaly detection for temporal data using LSTMs

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

bitcoin prediction algorithms

Deep learning codes and projects using Python

Automatic trading bot (WIP)

TensorFlow and Deep Learning Tutorials

A curated list of dedicated resources and applications

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

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🥕 Evolutionary Neural Networks in JavaScript

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

An Echo State Network module for PyTorch.

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

finance

Reinforcement Learning for Portfolio Management

Introducing neural networks to predict stock prices

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

How to build RNNs and LSTMs from scratch with NumPy.

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

This repo provides projects on deep-learning mainly using Tensorflow 2.0

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

This repository contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote

For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

A simple open domain generative based chatbot based on Recurrent Neural Networks

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

Spying using Smartwatch and Deep Learning

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

A clear, concise, simple yet powerful and efficient API for deep learning.

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Zipline, a Pythonic Algorithmic Trading Library

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

A tensorflow implementation of "Generating Sentences from a Continuous Space"

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Extract price and indicator data from TradingView charts to create ML datasets

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

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Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Wrapper library for algorithmic trading in Python 3, providing DMA/STP access to Darwinex liquidity via a ZeroMQ-enabled MetaTrader Bridge EA.

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

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

A stream-based approach to algorithmic trading and backtesting in Node.js

The author's officially unofficial PyTorch BigGAN implementation.

RadIO is a library for data science research of computed tomography imaging

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LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)

Deep Learning for Seismic Imaging and Interpretation

✨Fast Coreference Resolution in spaCy with Neural Networks

End-to-end training of sparse deep neural networks with little-to-no performance loss.

Accelerate Neural Net Training by Progressively Freezing Layers