1523 Open source projects that are alternatives of or similar to Stocker

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

Introducing neural networks to predict stock prices

DeltaPy - Tabular Data Augmentation (by @firmai)

A blog for data analytics using data science technologies

A Chinese financial sentiment word dictionary

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Search for tweets and download the data labeled with its polarity in CSV format

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!

Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.

Android library to draw beautiful and rich line charts.

A list of Twitter datasets and related resources.

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

Python training for business analysts and traders

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

This repository provides everything you need to get started with Python for (social science) research.

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

A Portfolio of my Data Science Projects

Slide show presentations regarding data driven investing.

Real-time sentiment analysis in Python using twitter's streaming api

A web application to explore currently hyped stocks on Reddit

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

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

A python implementation of DEPTA

Hayate-Shiki is an improved merge sort algorithm with the goal of "faster than quick sort".

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

A simple Spark-powered ETL framework that just works 🍺

A point-and-click tool for creating and analyzing topic models produced by MALLET.

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Data processing and modelling framework for automating tasks (incl. Python & SQL transformations).

eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.

List of Machine Learning & Data Science Conferences

A collection of Jupyter/IPython notebooks

Source material for Python Like You Mean it

A community run, 5-day PyTorch Deep Learning Bootcamp

Koç University deep learning framework.

Deep Learning Toolkit for Medical Image Analysis

A site that displays up to date COVID-19 stats, powered by fastpages.

🤖⚡️ scikit-learn tips

Accelerate your ML and Data workflows to production. Flyte is a production grade orchestration system for your Data and ML workloads. It has been battle tested at Lyft, Spotify, freenome and others and truly open-source.

A C++ stock market algorithmic trading bot

Python3 binding to mRMR Feature Selection algorithm (currently not maintained)

Data analysis tool.

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

NeuralPy: A Keras like deep learning library works on top of PyTorch

Malware Data Science Reading Diary / Notes

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

Main repository for R programming courses @ University of Cincinnati, courses and tutorials that focus on data wrangling, exploration, visualization, and analysis with R.

Opensource FinTech standards & payment provider data

CNN for stock market prediction using raw data & candlestick graph.

List of textual data sources to be used for text mining in R

R package to interface with OpenML

数据挖掘开源书

Projeto de análise de contratos com suspeita de superfaturamento e má qualidade na prestação de serviços.

Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.

Quantitative Analysis Research see more at https://teddykoker.com