Explore live open-source projects and AI models.

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

Gather around the table, and have a discussion to catch up the latest trend of machine learning 🤖

:chart_with_upwards_trend:Machine Learning code in Python3.x. （机器学习实战 py3代码整理）Some notes about the practices:（for reference only）

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

A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

Analyzing stock market trends using several different indicators in quantum finance. I explore machine learning and standard crossovers to predict future short term stock trends.

This Jesse strategy is based on financial astrology cycles detected with advanced machine learning techniques for the crypto-currencies symbols: ADA, BAT, BNB, BTC, DASH, EOS, LINK, LTC, ZEC and ZRX, the daily price trend is forecasted through this planets cycles and MAs indicator are used to nar... Read more

ShopIQ is an AI-powered retail intelligence platform built for analyzes shopping data to predict trends, discover shopper behavior patterns, segment customers, and uncover product affinities using machine learning and an interactive AI analytics assistant.

We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a model that will be able to buy and sell stock based on profitable prediction, without any human int... Read more

Created a continuous, homogeneous, and structured 10 GB dataset from self obtained collections of unstructured intraday financial data. Generated features from indicators, statistics, and recent factors. Used multi-disciplined analysis to find feature importance. Attached labels of trends and sto... Read more