zackchase/machine-learning-resources zackchase/machine-learning-resources

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  • Created almost 6 years ago
  • Updated almost 6 years ago
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zackchase/machine-learning-resources
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Repository Details

A (possibly/eventually annotated?) collection of resources (books, demos, lectures, etc) that I personally like for various topics in machine learning.

More Repositories

1

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
Jupyter Notebook
2,560
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2

python-wow

Python, so easy, wow!
HTML
139
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3

mxnet-slides

Slides from MXNet tutorials
51
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4

icu_rnn

Public repository for multilabel classification of medical diagnoses with LSTM RNNs
Python
41
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5

label_shift

A simple algorithm to identify and correct for label shift.
Jupyter Notebook
22
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6

gluon-slides

Slides from MXNet Gluon tutorials
17
star
7

reading-list

Tracking books that I {have, currently, or plan to} read
17
star
8

intrinsic-fear-dqn

Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.
Python
10
star
9

label-shift

Detect, quantify, and correct for label shift with black box predictors. Guarantee included.
8
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10

mxnet-docs

Staging ground for overhauling the MXNet documentation
Jupyter Notebook
6
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11

PyRNN

A general purpose RNN library based on Python & theano.
Python
3
star
12

beermind

deepx
Python
3
star
13

excel-windows-mac-commands

A simple table to cross-reference MAC & PC commands for using MS Excel
2
star
14

LatentDirichletAllocation.jl

Implementation of Latent Dirichlet Allocation in Julia.
Julia
2
star
15

MusicPerception

A set of experiments to discover the intrinsic capacity of people to differentiate and rank pitch sets.
Python
1
star
16

fast_multilabel

GPU-accelerated multilabel classification
Python
1
star
17

fairness-dynamics

Numerical experiments examining various toy economic models relating to selection processes (e.g. hiring).
1
star
18

learning_permutations

A set of experiments to determine if it's possible to recover spatial (local) structure in data.
Python
1
star