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Use unsupervised and supervised learning to predict stocks
fast image augmentation library and easy to use wrapper around other libraries
Algorithmic trading using machine learning.
Algorithmic Trading Challenge implemented as part of the term project for Foundations of Machine Learning at NYU Courant in Fall 2016 (http://cs.nyu.edu/courses/fall16/CSCI-GA.2566-001/index.html/)
Code and accompanying data used in my book "An Introduction to Deep Learning"
Source Code for 'Applied Reinforcement Learning with Python' by Taweh Beysolow
Generate a dendrogram from a dataset
It's a python script used to generate tags for a picture automatically using Google Vision API's label detection.
An image tagging tool utilizing a neural network and ALS recommender to add hashtags to images.
L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
List of awesome resources for machine learning-based algorithmic trading
Google Colaboratory Notebooks and Repositories (by @firmai)
Awesome machine learning for trading
A curated list of references for MLOps
Quant/Algorithm trading resources with an emphasis on Machine Learning
Limit Order Book 指値戦略の高速バックテストモジュール
Bayesian Deep Learning Benchmarks
Stacks in script are sourced from github. PCA analysis, STAT analysis, Black litterman and Markowitz terminology inlcluded.
Technical Analysis library in pandas for backtesting algotrading and quantitative analysis
Scalable, event-driven, deep-learning-friendly backtesting library
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
RaspberryPi CV module that tracks the state of a coffee pot
Uses SVM to attempt to learn a profitable trading strategy on Coinbase Pro BTC exchange
Code for EMNLP 2018 paper "Commonsense for Generative Multi-Hop Question Answering Tasks"
Official implementation of Character Region Awareness for Text Detection (CRAFT)
Master Thesis: Limit order placement with Reinforcement Learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.