Pinned Repositories
2018-CS109A
2018fall
AI-HumanRights
Research for the AI, Human Rights, and Ethics project
AM209a
Repo for Harvard class AM 209a: Data Science I
Attention
Repo for assignment 4 of CS287
bayes-by-backprop
PyTorch implementation of "Weight Uncertainty in Neural Networks"
BERT-text-classification-tutorial
catbook-react
CMTO_heterogeneous_treatment_effects
Seeing who benefited from the Creating Moves to Opportunity experiment
Extracting-CK-from-Large-LM
Experiments for the paper draft "Commonsense Knowledge Mining from Pretrained Models"
JoshFeldman95's Repositories
JoshFeldman95/Extracting-CK-from-Large-LM
Experiments for the paper draft "Commonsense Knowledge Mining from Pretrained Models"
JoshFeldman95/CMTO_heterogeneous_treatment_effects
Seeing who benefited from the Creating Moves to Opportunity experiment
JoshFeldman95/2018-CS109A
JoshFeldman95/AI-HumanRights
Research for the AI, Human Rights, and Ethics project
JoshFeldman95/Attention
Repo for assignment 4 of CS287
JoshFeldman95/BERT-text-classification-tutorial
JoshFeldman95/catbook-react
JoshFeldman95/checklist
A checklist for data science projects
JoshFeldman95/code-scanning-javascript-demo
GitHub Code Scanning Javascript Tutorial
JoshFeldman95/dbt-core
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
JoshFeldman95/dbt-tutorial
JoshFeldman95/Deployable-ML
Final Project for MIT Deployable ML Seminar
JoshFeldman95/DeployableMachineLearning
JoshFeldman95/dotbot
A tool that bootstraps your dotfiles ⚡️
JoshFeldman95/dotfiles
~anish • powered by https://github.com/anishathalye/dotbot 💾
JoshFeldman95/dotfiles-local
~anish [local config] • powered by https://git.io/dotbot 🏠
JoshFeldman95/dotfiles_template
A template for structuring dotfiles (using Dotbot as an installer) 📜
JoshFeldman95/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
JoshFeldman95/httr
httr: a friendly http package for R
JoshFeldman95/namedtensor
Proof of concept for a dynamic named tensor for pytorch
JoshFeldman95/policyengine-ai
JoshFeldman95/privacybadger
Privacy Badger is a browser extension that automatically learns to block invisible trackers.
JoshFeldman95/Project0
JoshFeldman95/react-skeleton
JoshFeldman95/SEASDesignFairSampleRepo
JoshFeldman95/SEASFairSampleRepo
SampleRepo
JoshFeldman95/test-repo
JoshFeldman95/testairflow
JoshFeldman95/translation
translation assignment for CS 287
JoshFeldman95/what-did-i-do
A journal to help you remember what you did