Ilya Palachev

awesome-ai-compilers. My survey of literature on compilers for AI models

polyhedra-correction-library. Code of my qualification and PhD works: reconstruction and correction of 3D polyhedra from shadow contours

awesome-polyhedra-recovery. A curated list of awesome papers about polyhedra recovery

KoELECTRA. Pretrained ELECTRA Model for Korean

RevHelper-Replication-Package-MSR2017. Predicting Usefulness of Code Review Comments using Textual Features and Developer Experience

github-api. Java API for GitHub

KR-BERT. KoRean based BERT pre-trained models (KR-BERT) for Tensorflow and PyTorch

DistilKoBERT. Distillation of KoBERT from SKTBrain (Lightweight KoBERT)

multiatis. Data and code for the paper "End-to-End Slot Alignment and Recognition for Cross-Lingual NLU" (Accepted to EMNLP 2020)

acl2019-BERT-argument-classification-and-clustering. Python

bert-stack-overflow. Train a BERT model with TensorFlow 2.0 to automatically tag StackOverflow questions!

HanBert-Transformers. HanBert on 🤗 Huggingface Transformers 🤗

confusion. Confusion Detection in Code Reviews

korbert-mecab-multigpu. MULTI GPU환경에서 ETRI 한국어 BERT모델 활용한 Korquad 학습 방법

KoBERT. Korean BERT pre-trained cased (KoBERT)

CodeBERT. CodeBERT

KoGPT2. Korean GPT-2 pretrained cased (KoGPT2)

Awesome-Korean-NLP. A curated list of resources for NLP (Natural Language Processing) for Korean

awesome-machine-learning-in-compilers. Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

HanBert-54k-N. HTML

What-Code-Reviewers-Talk-About-Blog-Post. Jupyter notebook for Muntazir's blog post entitled, "What Code Reviewers Talk About"

AwesomeKorean_Data. 한국어 데이터 세트 링크

code_review. Jupyter Notebook

Revisar. Learning Quick Fixes from Code Repositories

code-completion. pytorch version of code completion with neural attention and pointer networks

awesome-seml. A curated list of articles that cover the software engineering best practices for building machine learning applications.

miningReviewRepo. Python

gsdmm. GSDMM: Short text clustering

RevHelper-MSR2017. Predicting Usefulness of Code Review Comments using Textual Features and Developer Experience

refazer. Refazer: Learning Program Transformations from Examples

SATM. Our Java implementation of Self-Aggregation-Based Topic Model (SATM)

GSDMM-1. Python

GPUDMM. Topic Modeling for Short Texts with Auxiliary Word Embeddings

ml. sourced.ml is a library and command line tools to build and apply machine learning models on top of Universal Abstract Syntax Trees

stc_clustering. Python