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Name: Yoav Rabinovich
Type: User
Bio: Research Fellow at Harvard University, Banaji lab. Interested in Deep Learning, Quantum Computing, Information Theory and their intersections.
Blog: shesh6.github.io
Name: Yoav Rabinovich
Type: User
Bio: Research Fellow at Harvard University, Banaji lab. Interested in Deep Learning, Quantum Computing, Information Theory and their intersections.
Blog: shesh6.github.io
Exercises from Graham Neubig's notes and his course Neural Networks for Natural Language Processing (Carnegie Mellon University CS 11-747).
static js rgb color recognition game using jQuery
An API service that detects unmasked faces in images and stamps a mask onto them.
Core course on Algorithms and Data Structures, taken in spring 2018.
Core course in Mathematical Modeling with some coding in python. Taken in fall 2017 in Minerva Schools.
Core course in statistical inference using R, taken in fall 2017 at Minerva Schools.
Concentration course on Artificial Intelligence and Robotics, taken in fall 2018.
Taken in Fall 2019
Concentration course on Machine Learning, taken in fall 2018.
A Real Estate Database in SQLAlchemy
Concentration course on optimization methods taken in Spring 2020.
A concentration course on computer modeling and simulations. Taken in spring 2019.
The Natural Language Decathlon: A Multitask Challenge for NLP
Miscellaneous projects in deep learning.
Looking for renormalization in the operation of deep neural networks by training an autoencoder to detect phase transitions in the Ising model, and extracting evidence from layer activations.
The example of using the DND-5e-LaTeX-Template for a D&D adventure module.
Analyzing the changes in social biases (as detailed by Pachankis et al., 2018) over the past 200 years, using various historical text corpora.
The source repository is at https://github.com/full-stack-deep-learning/fsdl-text-recognizer
A deep learning seminar taken Fall 2019
Stanford's Machine Learning course in MATLAB by Andrew Ng. Taken Spring 2017.
Machine Learning course on Udemy in R and Python, taken in summer 2017.
Working with a movie database API to look up movies, using bootstrap, dynamic web page
Quantum Code Generation with Conditional RNNs. Capstone project for Minerva Schools, March 2020.
A Quantum Computing MOOC from University of Toronto focusing on Machine Learning applications, taken in summer 2019. Coded in Python using IBM's qiskit library and D-Wave's ocean library.
Personal website, CV
A complex systems agent based gravity model that simulates solar system formation from initial conditions. Capable of creating spontaneous emergent properties such as moons and binary systems. Written in C# with Unity3D for A Foundation Year Final Project for Minerva, in winter 2017.
Stanford's C231n course, assignments completed using both PyTorch 1.6 and TensorFlow 2.3, taken in summer 2020.
Using Tensorflow and the HuggingFace transformer library along with Weights and Biases sweeps to classify entailment in text, for the Kaggle competition "Contradictory, My Dear Watson".
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.