It's just fascinating. How is modern software designed? 🤔 Some design-level considerations for scalability, maintainability eventual consistency, availability & reliability. 👨‍💻 Interview Prep. 👨‍💻

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

A classification model

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Test Software for the Characterization of AI Technologies

Must-read Papers on pre-trained language models.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

《Designing Data-Intensive Application》DDIA中文翻译

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

Official Python client for Elasticsearch

All Algorithms implemented in Python

A curated list of awesome things related to HarmonyOS. 华为鸿蒙操作系统。

Design patterns implemented in Java

Open Source Continuous File Synchronization

更好的jieba java版

Java program to add bookmarks to pdf (stable)

Information Extraction in Python

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

汇总各大互联网公司容易考察的高频leetcode题🔥

Datasets shared by research

NEWS: JATE2.0 Beta.11 Released, see details below.

Learning Named Entity Tagger from Domain-Specific Dictionary

Python package built to ease deep learning on graph, on top of existing DL frameworks.

CODE OF 'MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions'

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

自注意力与文本分类

Source code for ACL 2019 paper "Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge"

2019达观杯信息提取第5名代码

A lightweight but powerful library to build token indices for NLP tasks, compatible with major Deep Learning frameworks like PyTorch and Tensorflow.