SΓ©b Arnold (@seba-1511)
github

seba-1511

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  • Stars
    star
    594
  • Global Rank 49,510 (Top 2 %)
  • Followers 208
  • Following 313
  • Registered over 13 years ago
  • Most used languages
    Python
         70.0 %
    HTML
         15.0 %
    JavaScript
         10.0 %
    Arduino     5.0 %
  • Location πŸ‡ΊπŸ‡Έ United States
  • Country Total Rank 13,332
  • Country Ranking
    HTML
         626
    Arduino     2,145
    Python
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Top repositories

1

dist_tuto.pth

Official code for "Writing Distributed Applications with PyTorch", PyTorch Tutorial
HTML
254
star
2

lstms.pth

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)
Python
137
star
3

randopt

Streamlined machine learning experiment management.
HTML
106
star
4

igt.pth

Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19
Python
21
star
5

sync-paperpile-notion

Sync changes in Paperpile to a Notion database.
Python
14
star
6

shapechanger

Transfer Learning Environments
Python
11
star
7

drl.pth

Implementation of Policy Gradient algorithms in PyTorch. (Sequential, Distributed sync + async)
Python
9
star
8

plotify

Best practices and sane defaults for Matplotlib.
Python
8
star
9

sobolev.pth

Small scale replication of Sobolev Training for NNs
Python
7
star
10

mpi4pycuda

Wrapper to use mpi4py with pyCUDA
Python
2
star
11

cdn

Personal CDN
JavaScript
1
star
12

colloquium_310

Files created for the colloquium
1
star
13

dist_blog

Distributed Optimization Blog Post
HTML
1
star
14

planktonChallenge

The Kaggle challenge for plankton recognition
Python
1
star
15

meritocracy

Experiments on meritocratic behaviours
JavaScript
1
star
16

Arduino-Chrono

An Arduino-based chronometer for Tooski
Arduino
1
star
17

specialists

Code for ArXiv/1609.03666
Python
1
star
18

gsoc15-demo

Demo code for GSoC 15
Python
1
star
19

qrl

Code for "Policy Learning and Evaluation with Randomized Quasi-Monte Carlo"
Python
1
star
20

dtrpo.tf

Accelerated and Distributed TRPO
Python
1
star
21

conjugate-gradient-newton

Comparison of Gradient Descent, Newton's Method, and Conjugate Directions Algorithm
Python
1
star