joshzwiebel Goto Github PK
Name: Josh Zwiebel
Type: User
Bio: UWaterloo Student Data Scientist @Munich Re previously Huawei, Nugget.ai, TradeRev
Name: Josh Zwiebel
Type: User
Bio: UWaterloo Student Data Scientist @Munich Re previously Huawei, Nugget.ai, TradeRev
A solution to the second challenge problem of MTE 140
A personal knowledge base accessible via chatbot
An exploration of the Kaggle disaster Tweets dataset and development of a predictive model
Assignments related to W23 ECE 406
A repository for assignments completed for ECE 493 Foundations of Multi Agent systems
kaggle feedback prize
Multiple methods of producing the Fibonacci series in order to practice c#. Mehtods include simple recursion, memoization , tabulation and direct calculation.
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
this is a collection of technical questions gathering from the book "Cracking the Coding Interview" for me to practice for technical interviews.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
A collection of Kaggle competition code
A PyTorch Library for Accelerating 3D Deep Learning Research
Deep Learning for humans
Utilities for working with image data, text data, and sequence data.
Second MTE 140 lab regarding Stacks and Queues
A website for generating Mandelbrot, Julia, Multibrot, and Multi-Julia sets (HTML, CSS, JavaScript)
An unofficial pytorch implementation of MELU
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
my submission for pencil learnings take home test
testing
A game theoretic approach to explain the output of any machine learning model.
An implementation of efficient Shapley value calculation of routing problems
Course material for SYDE 556/750 at UWaterloo, Fall 2022
An Open Source Machine Learning Framework for Everyone
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
A repository detailing work involved in the kaggle competition Tweet Sentiment Extraction (Jupyter Notebook)
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.