ShangwenWang

Awesome-LM-SSP

A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).

LLM4SE

Large Language Models for Software Engineering

langchain

🦜🔗 Build context-aware reasoning applications

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

XLCoST

Code and data for XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence

SeqGAN-PyTorch

Implementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch

seqGAN

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Paper-Picture-Writing-Code

MLNLP: Paper Picture Writing Code

dataviz

Data visualization examples in R

engineering-ai-systems-course

Repository containing the course's material of Engineering AI-Based Software Systems

CodeXGLUE

CodeXGLUE

deep-code-search

DeepCS: Deep Code Search

CoDas4CG

Contests based Dataset for Code Generation

contracode

Contrastive Code Representation Learning: functionality-based JavaScript embeddings through self-supervised learning

CodeSearchNet

Datasets, tools, and benchmarks for representation learning of code.

external-knowledge-codegen

Code and data for ACL20 paper "Incorporating External Knowledge through Pre-training for Natural Language to Code Generation"

NIL

Clone detector using N-gram, Inverted index, and LCS

CodeGen

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.

guava

Google core libraries for Java

elasticsearch

Free and Open Source, Distributed, RESTful Search Engine

spring-boot

Spring Boot

HebCup

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

FeaRS

FeaRS is a novel retrieval-based approach that, given the current code a developer is writing in the IDE, can recommend the next full method (i.e., signature and method body) that the developer is likely to implement.

MatchSum

Code for ACL 2020 paper: "Extractive Summarization as Text Matching"

jgit-cookbook

Provides examples and code snippets for the JGit Java Git implementation

taobao_seckill

淘宝、天猫半价抢购，抢电视、抢茅台，干死黄牛党

src

tools for fast reading of docs