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Name: NICK JAVOS
Type: User
Company: @nwtone
Name: NICK JAVOS
Type: User
Company: @nwtone
Starter-kit to build constrained agents with Nextjs, FastAPI and Langchain
Alfa-Bank UI primitives for sharing between platforms
This repo includes ChatGPT prompt curation to use ChatGPT better.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Machine learning regression algorithm on cryptocurrency stock price for the next 30 days.
Stock for Deep Learning and Machine Learning
The October CMS Documentation
A machine learning program that is able to recognize patterns inside Forex or stock data
Anomaly Detection and Correlation library
Built market emotional indicators using variables like PE, PB, PCF and dividend yield; developed model to predict return of different index and different time span.
Machine Learning Engineering Open Book
Super Resolution for images using deep learning.
The React Framework
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
Installation wizard for October CMS
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.
Portfolio analytics for quants, written in Python
Highly customizable stock charts with ReactJS and d3
Build Better Websites. Create modern, resilient user experiences with web fundamentals.
Simple to use interfaces for basic technical analysis of stocks.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Stock Price Prediction using Machine Learning Techniques
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.