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westjia's Projects

awesome-go icon awesome-go

A curated list of awesome Go frameworks, libraries and software

bootstrap icon bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球300所大学用于教学。

flappyswift icon flappyswift

swift implementation of flappy bird. More at fullstackedu.com

gpt4free icon gpt4free

decentralising the Ai Industry, free gpt-4/3.5 scripts through several reverse engineered api's ( poe.com, phind.com, chat.openai.com, writesonic.com, sqlchat.ai, t3nsor.com, you.com etc...)

kgs-survey icon kgs-survey

This is a repository of knowledge graphs survey paper that will be updated periodically.

leetcode-go icon leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

openmixup icon openmixup

Mixup for Supervision, Semi- and Self-Supervision Learning Toolbox and Benchmark

paddlenlp icon paddlenlp

Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.

qlib icon qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

subgraphretrievalkbqa icon subgraphretrievalkbqa

The pytorch implementation of Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering

transfernet icon transfernet

Pytorch implementation of EMNLP 2021 paper "TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph "

webpack icon webpack

A bundler for javascript and friends. Packs many modules into a few bundled assets. Code Splitting allows for loading parts of the application on demand. Through "loaders", modules can be CommonJs, AMD, ES6 modules, CSS, Images, JSON, Coffeescript, LESS, ... and your custom stuff.

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