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Name: Marshal Will
Type: User
Bio: Just a drop in an ocean.
Name: Marshal Will
Type: User
Bio: Just a drop in an ocean.
A C program I wrote that takes in financial data from user and outputs the 3 main financial statements
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
A curated list of awesome self-supervised methods
An example of an multi layered network
These are just some solutions to project euler problems that are out there that I had completed.
Using machine learning and association rules to make a prediction for type of move out
R code our team used for the 2018 Data Derby
Data from EDGAR filling was extracted and text analysis was performed.
This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation is faster than the state-of-the-art implementations. Existing the state-of-the-art library also decompresses the whole embedding tables on the fly therefore they do not provide memory reduction during runtime of the training. Our library decompresses only the requested rows therefore can provide 10,000 times memory footprint reduction per embedding table. The library also includes a software cache to store a portion of the entries in the table in decompressed format for faster lookup and process.
Code for the paper "Language Models are Unsupervised Multitask Learners"
Here I demonstrate some example methods in using Linked List's in Java
Functions that change a matrix in python.
I demonstrate some of the uses using the R library, ggplot, to visualize the distribution of olive oils in Italy. I also show some examples of using matrixes and manipulating them.
Counts number of medical facilities
For our Minnesota Data Analytics competition we were asked to predict the next weeks futures forecasted prices for Soybeans. Our group overall placed 6th place for accuracy out of 43 teams and when comparing to the accuracy of the graduate division we would've placed 3rd for accuracy of predictions.
An attempt to identify the difference between movie scripts for chick flicks and action movies using sentiment analysis, among other stuff
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
This R code just takes in some data from Nutritional data set and visualizes it so one can understand it more. In this data set it shows a comparison between trans. fat and sat. fat. It also compares the type of fat from different restaurants.
Collecting, analyzing, visualizing & paper trading options market data
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.