shaileshj2803,github

accelerated-text

Accelerated Text helps you to automatically generate natural language descriptions of your data, varying in wording and structure.

albumentations

fast image augmentation library and easy to use wrapper around other libraries

aptos-2019-gold-medal-solution

ast_seq_nl

java method(ast) in seq to natural language description in tensorflow

awesome-causal-inference

A (concise) curated list of awesome Causal Inference resources.

awesome-machine-learning-on-source-code

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

bulk-openai-embeddings-creator

A multi-threaded script & CLI tool for generating embeddings from text using multiple OpenAI endpoints. Supports resuming from previously processed data and customizable thread configurations

c3po

Code for the paper "A Structural Model for Contextual Code Changes"

cifar10-distributed-training-baidunet9p

DAWN CIFAR10 distributed training results by BAIDU USA GAIT LEOPARD team

cluster-statements

A small streamlit app to visualize the output of sentence clustering

clustering

Sequence clustering using k-means with dynamic time warping (DTW) and Damerau-Levenshtein distance as similarity measures

code-completion-study

IFT 6010 - Course Project - Towards unbiased evaluation of DL-based code completion recommender systems

code-prediction-transformer

This repo will contain replication package for the paper "Feeding Trees to Transformers for Code Completion"

code2seq

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

code_transformers

Empirical Study of Transformers for Source Code & A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code

codebert

CodeBERTInSimFix:使用codebert获取代码段的向量表示，使其适用于SimFix

codebert-based-webshell-detection

使用CodeBERT来webshell classfication

Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.