John Thickstun (@jthickstun)
github

jthickstun

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  • Stars
    star
    283
  • Global Rank 92,942 (Top 4 %)
  • Followers 50
  • Following 1
  • Registered about 12 years ago
  • Most used languages
    Jupyter Notebook
         61.5 %
    Python
         30.8 %
    Lean     7.7 %
  • Location 🇺🇸 United States
  • Country Total Rank 22,253
  • Country Ranking
    Lean     50
    Jupyter Notebook
         1,315
    Python
         4,610

Top repositories

1

anticipation

Anticipatory Autoregressive Models
Python
143
star
2

watermark

Code for watermarking language models
Python
67
star
3

pytorch_musicnet

PyTorch DataSet and Jupyter demos for MusicNet
Jupyter Notebook
63
star
4

basis-separation

Implementation of the BASIS algorithm for source separation with deep generative priors
Python
36
star
5

thickstun2018invariances

Experiments for Invariances and Data Augmentation for Supervised Music Transcription
Jupyter Notebook
30
star
6

thickstun2017learning

Experiments for Learning Features of Music From Scratch, ICLR 2017
Jupyter Notebook
14
star
7

alignment-eval

Dataset and evaluation pipeline for music-to-score alignment
Jupyter Notebook
8
star
8

lean

Some experiments with the Lean proof assistant
Lean
7
star
9

mini-musicnet

The mini-MusicNet dataset
Jupyter Notebook
7
star
10

ismir2019coupled

Experiments for Coupled Recurrent Networks for Polyphonic Music Composition
Jupyter Notebook
3
star
11

gm-hw1

Homework 1 for Generative Models
Jupyter Notebook
2
star
12

gm-hw2

Homework 2 for Generative Models
Jupyter Notebook
1
star
13

gm-hw3

Homework 3 for Generative Models
Python
1
star