James Atwood (@jcatw)
  • Stars
    star
    175
  • Global Rank 136,737 (Top 5 %)
  • Followers 32
  • Following 16
  • Registered almost 13 years ago
  • Most used languages
    Python
    42.9 %
    Emacs Lisp
    14.3 %
    JavaScript
    14.3 %
    C
    14.3 %
    Clojure
    4.8 %
    OpenEdge ABL
    4.8 %
    CSS
    4.8 %

Top repositories

1

scnn

Implementation of search-convolutional neural networks (SCNNs)
OpenEdge ABL
51
star
2

dcnn

An implementation of Diffusion-Convolutional Neural Networks in Lasagne and Theano.
Python
33
star
3

snap-facebook

A python script that parses the SNAP facebook dataset into a single NetworkX network
Python
26
star
4

ergm

An implementation of the exponential random graph model
Python
25
star
5

strie.el

simple tries for emacs
Emacs Lisp
13
star
6

purty-mode

Safely pretty-print greek letters, mathematical symbols, or anything else
Emacs Lisp
11
star
7

quicknet

A fast network simulator
C
3
star
8

iota

A lisp interpreter
C
3
star
9

generator-learner

A reinforcement learning approach to discovering network generation algorithms
Python
2
star
10

deep-belief-gen

An implementation of a deep belief network-based network generative network model
2
star
11

include.el

Dependency management for elisp snippets
Emacs Lisp
1
star
12

deepnet

A simple implementation of deep belief networks
Python
1
star
13

depnet

A dependency network implementation on top of scikit-learn
Python
1
star
14

hackscience.github.io

blog
JavaScript
1
star
15

jointrw

Python
1
star
16

cljwebserve

A simple concurrent webserver written in clojure
Clojure
1
star
17

egosnap

Processing for the Stanford Network Analysis Project (SNAP) twitter ego nets
Python
1
star
18

ntwx-js

An interactive graph-layout hack for canvas elements.
JavaScript
1
star
19

landing

Landing page for jatwood.org
CSS
1
star
20

facebook-api-hack

just messing around with the facebook api
JavaScript
1
star
21

blog

1
star
22

subtime

Add or subtract an offset from a .srt-formatted subtitle file
Python
1
star
23

krapivsky

A fast implementation of the multivariate scale-free network generation model described in "Krapivsky, P., Rodgers, G., & Redner, S. (2001). Degree Distributions of Growing Networks. Physical Review Letters, 86(23), 5401–5404."
C
1
star