giganticode Goto Github PK

adverb

adverb-backend

bohr

Big Old Heuristic Repository

bohr-api

bohr-labels

bohr-runtime

bohr-ui

bohr-workdir-bugginess

bohr-workdir-template

codeprep

A toolkit for pre-processing large source code corpora

codex_vs_hackerrank

Code Synthesis Evaluation of Codex using Python problem statements from HackerRank

commit-classification

commit-explorer

commit-explorer-client

Client for CommitExplorer

datasets

diff-classifier

evohelper

icse-2020

Meta-repo for our submission "Big Code!= Big Vocabulary: Open-Vocabulary Models for Source Code" (contains links to repos and artifacts, code for building artifact demonstartion docker image, poster)

inspect

jemma

JEMMA: An Extensible Java dataset for Many ML4Code Applications

langmodels

Applying machine learning to large source code corpora

lm-context-analysis

Code for the ACL 2018 paper "Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context"

lm-context-experiments

lm-powered

Bringing neural language models to your IDE

lm-powered-backend

Backend for the Visual Studio Code extension

lm-powered-webtool

openvocabcodenlm

Contains the code for our paper: Maybe Deep Neural Networks are the Best Choice for Modeling Source Code (https://arxiv.org/abs/1903.05734). This is the first open vocabulary language model for code that uses the byte pair encoding algorithm (BPE) to learn a segmentation of code tokens into subword units.

out_of_context_paper_data

Data and training scripts for the paper "Out of Context: How important is Local Context in Neural Program Repair?"

probes

Probing pre-trained source code models

rafael-experiments