Amuyoucun's starred repositories
shanghai_house_knowledge
2020年11月在上海买房经历总结出来的买房购房做的一些功课分享给大家，技术人帮助技术人，希望对大家有所帮助。
best_AI_papers_2021
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
RIDE-LongTailRecognition
[ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."
landmark-detection
Four landmark detection algorithms, implemented in PyTorch.
Person_reID_baseline_pytorch
:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
AlphaTree-graphic-deep-neural-network
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱
DLInterview
Deep Learning Interview 深度学习面试题目汇总
MnasNet-PyTorch
A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
soft-filter-pruning
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
interviews
Everything you need to know to get the job.
RooflineToolkit
This is a fork of the Empirical Roofline Toolkit (ERT) from Berkeley's CRD Lab.
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
proxylessnas
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
LeetCodeAnimation
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）
DataSciComp
A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.
Data-Competition-TopSolution
Data competition Top Solution 数据竞赛top解决方案开源整理
PocketFlow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
data-science-question-answer
A repo for data science related questions and answers