This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX

Awesome autocompletion, static analysis and refactoring library for python

PySonar2: a semantic indexer for Python with interprocedual type inference

Source Code and Data for Software Domain NER

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

The dataset for EMSE-DeepCom

CodeXGLUE

计算机基础（计算机网络/操作系统/数据库/Git...）面试问题全面总结，包含详细的follow-up question以及答案；全部采用【问题+追问+答案】的形式，即拿即用，直击互联网大厂面试；可用于模拟面试、面试前复习、短期内快速备战面试...

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Generate embeddings from large-scale graph-structured data.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

RxJava – Reactive Extensions for the JVM – a library for composing asynchronous and event-based programs using observable sequences for the Java VM.

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Pytorch implementation for Controllable Text-to-Image Generation.

Minimal and clean examples of machine learning algorithms implementations

Large-scale pretraining for dialogue

Samples for users of the Yelp Academic Dataset

4 different recommendation engines for the MovieLens dataset.

技术面试最后反问面试官的话

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

A complete computer science study plan to become a software engineer.

A collection of internship applications in a fancy excel-like website

leetcode 顺序刷题，详细通俗题解，with JAVA

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

XLNet: Generalized Autoregressive Pretraining for Language Understanding

Parse LaTeX math expressions

This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.

A algebraic word problem dataset, with multiple choice questions annotated with rationales.