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awesome-causality-algorithms

An index of algorithms for learning causality with data

cs221

My homework and lab work for CS221 at Reed College

cs224n

My work for the Stanford NLP course.

cs229

My solutions to the cs229 problem sets

cs389hw

cs389hw0

HW0 for CS389, Spring 2020

cs389hw1

HW1 for CS389 offered spring 2020 at Reed College

cs389hw2

cs389hw4

HW4: Let's network In this exercise we'll modify our cache code so we can access the cache from multiple clients over the network, like Memcached does. We'll use a RESTful API to access the cache, which is both a modern approach and one that's easier to debug with generic clients than the original Memcached's unique interface.

cs389hw5

cs389hw6

cs389hw7

csci-378

Course materials for CSCI 378: Deep Learning (Reed College)

dac-label-noise

Label de-noising for deep learning

disambiguation

2019 summer

git_exp

used to practice my git operations

gnn-for-nids

hello-world

isitenglish

ivy

The Unified Machine Learning Framework

math141

labs R notebooks for MATH141 at Reed College

mlss2022_novel_adv_attacks

patchwork

All the Git-it Workshop completers!

physical_object_seg

polyexpand

reed-thesis

selective-prediction

stanford-cs229

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

stanford-cs229-1

Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng

video_prediction