Stars
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
🦜🔗 Build context-aware reasoning applications
Blender addons to make the bridge between Blender and geographic data
Collection of Python Scripts for my YouTube channel
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 Advers…
Extractive Text Summarization in Python
A python wrapper for Alpha Vantage API for financial data.
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
AndysDeepAbstractions / How-to-Predict-Stock-Prices-Easily-Demo
Forked from llSourcell/How-to-Predict-Stock-Prices-Easily-DemoHow to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
This is an LSTM stock prediction using Tensorflow with Keras on top.
Technical experimentations to beat the stock market using deep learning 📈
A visual, technical analysis and charting (Candlestick, OHLC, indicators) library built on D3.
Highly customizable stock charts with ReactJS and d3
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
Semester project for COS 470 (Artifical Intelligence) at the University of Maine.
An audio fingerprinting utility that search a directory of audio samples and then lets you find similiarties by id or by dropping an audio file onto the gui
Python Audio Search Engine: search for audio .wav files based on percent similarity
This is a masters thesis project to study sentiment analysis of twitter for tourism recommendation. The project is built on top of another project "Thweeather" that correlates twitter sentiments to…
Listens for Stock news on Twitter, performs sentiment analysis by mining information from an online news source, performs supervised predictive modeling and suggests buy or sell decisions of the st…
Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)
Learn JavaScript by adventuring around in the terminal.
BioGeography with Bayesian (and likelihood) Evolutionary Analysis with R Scripts