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yang yuqiao's Projects

abigsurvey icon abigsurvey

A collection of 300+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

best_ai_papers_2021 icon best_ai_papers_2021

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress]

clara-train-examples icon clara-train-examples

Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models

clrs icon clrs

:notebook:Solutions to Introduction to Algorithms

crosslingual-nlp icon crosslingual-nlp

This repo supports various cross-lingual transfer learning & multilingual NLP models.

cs-books icon cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

csbook icon csbook

计算机类常用电子书整理,并且附带下载链接,包括Java,Python,Linux,Go,C,C++,数据结构与算法,人工智能,计算机基础,面试,设计模式,数据库,前端等书籍

d2l-en icon d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions

d2l-pytorch icon d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deeplearning icon deeplearning

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

elitequant icon elitequant

A list of online resources for quantitative modeling, trading, portfolio management

external-attention-pytorch icon external-attention-pytorch

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

flamby icon flamby

Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.

fsl-mate icon fsl-mate

FSL-Mate: A collection of resources for few-shot learning (FSL).

fucking-algorithm icon fucking-algorithm

刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.

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