@tech-srl
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tech-srl

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  • Stars
    star
    2,945
  • Global Org. Rank 7,105 (Top 3 %)
  • Registered over 10 years ago
  • Most used languages
    Python
         61.9 %
    Java
         14.3 %
    C
         9.5 %
    Jupyter Notebook
         9.5 %
    C#
         4.8 %

Top repositories

1

code2vec

TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
Python
1,092
star
2

code2seq

Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"
Python
547
star
3

how_attentive_are_gats

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
Python
299
star
4

RASP

An interpreter for RASP as described in the ICML 2021 paper "Thinking Like Transformers"
Python
279
star
5

Nero

Code and resources for the paper: "Neural Reverse Engineering of Stripped Binaries using Augmented Control Flow Graphs"
Python
185
star
6

bottleneck

Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
Python
91
star
7

slm-code-generation

TensorFlow code for the neural network presented in the paper: "Structural Language Models of Code" (ICML'2020)
Java
86
star
8

esh

statistical similarity of binaries (Esh)
C#
73
star
9

lstar_extraction

implementation of ICML 2018 paper, Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples
Jupyter Notebook
71
star
10

layer_norm_expressivity_role

Code for the paper "On the Expressivity Role of LayerNorm in Transformers' Attention" (Findings of ACL'2023)
Python
43
star
11

c3po

Code for the paper "A Structural Model for Contextual Code Changes"
Python
25
star
12

adversarial-examples

Code for the paper: "Adversarial Examples for Models of Code"
Python
17
star
13

weighted_lstar

implementation for "learning weighted deterministic automata from queries and counterexamples", neurips 2019
Python
17
star
14

RASP-exps

Code for running the transformers in the ICML 2021 paper "Thinking Like Transformers"
Python
16
star
15

prime

Java
14
star
16

safe

SAFE static analysis tools
Java
12
star
17

differential

differential
C
12
star
18

counting_dimensions

demonstration for our ACL 2018 paper, "On the Practical Computational Power of Finite Precision RNNs for Language Recognition"
Jupyter Notebook
10
star
19

id2vec

Python
9
star
20

RNN_to_PRS_CFG

Implementation of TACAS 2021 paper, "Extrapolating CFGs from RNNs"
Python
9
star
21

atam

Example programs for ATAM
C
3
star