7251 Open source projects that are alternatives of or similar to Stock Price Predictor

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

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

공공데이터 분석

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)

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

Performance analysis of predictive (alpha) stock factors

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

This is Andrew NG Coursera Handwritten Notes.

A collection of notebooks of my Machine Learning class written in python 3

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

This repository consists of all my Machine Learning Projects.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Application of machine learning to the Coinbase (GDAX) orderbook

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

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

Functionalities in Excel translated to Python

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

How to build RNNs and LSTMs from scratch with NumPy.

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

For extensive instructor led learning

Some of the ML and DL related reading materials, research papers that I've read

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

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

PyTorch tutorial for learners

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

Alpine Container for Machine Learning

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Neural machine translator for English2German translation.

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

This repository helps you understand python from the scratch.

Technical Analysis Library using Pandas and Numpy

Repository to store sample python programs for python learning

Anomaly detection for temporal data using LSTMs

📚 Various cheatsheets in PDF

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

Achieve your marketing goals with the data analytics power of Python

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

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

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

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

Credit Risk analysis by using Python and ML

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Simple Smart Pipe: python productivity-tool for rapid data manipulation

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Graph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

Generic U-Net Tensorflow 2 implementation for semantic segmentation

Time series prediction with Sequential Model and LSTM units

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

Get, Concatenate and Process you location history from Google Maps TimeLine

A Box detection algorithm for any image containing boxes.

The deeplearning algorithms implemented by tensorflow