└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # Deep_learning-Notebook 2 | 针对人工智能相关领域（计算机视觉CV、自然语言处理NLP以及推荐系统Recsys）的知识点做一些简要总结. 3 | Make some brief summaries on the reading of related papers (CV、 NLP and Recsys, etc.) 4 | 5 | # Related useful links 6 | 7 | ## Artificial Intelligence 8 | **No.** | **Name** | **link** 9 | :-: | :-: | :- 10 | :triangular_flag_on_post: 00 | **DeepLearning-500-questions** | [总结学习资料](https://github.com/scutan90/DeepLearning-500-questions) 11 | 01 | **Salient Object Detection** | [Paper list1](https://github.com/jiwei0921/SOD-CNNs-based-code-summary-) & [list2](https://github.com/ArcherFMY/Paper_Reading_List) 12 | 02 | **Person ReID** | [视频行人重识别2019各顶会顶刊文章](https://mp.weixin.qq.com/s/48RSm8PmYGzbn4JzgaL3EQ) 13 | 02+ | **Person ReID** | [Re-ID中的特征对齐--从ICCV 2017到CVPR 2020](https://mp.weixin.qq.com/s/ncMijASJshpQ9IxgA4Mr2A) 14 | 03 | **Recommender System** | [Related paper list](https://github.com/hongleizhang/RSPapers) & [Basis paper and code](https://github.com/princewen/tensorflow_practice) 15 | 04 | **Human skeleton estimation** | [视觉俞刚，简要梳理](https://mp.weixin.qq.com/s/VWSyT96BWHFQaqVDR-GALg); [一个很好的human pose with DL简述](https://zhuanlan.zhihu.com/p/345201439) 16 | 05 | **Face Detection** | [Related paper and code, dataset](https://github.com/ChanChiChoi/awesome-Face_Recognition) 17 | 06 | **Object Detection** | [Complete paper list](https://github.com/hoya012/deep_learning_object_detection) & [Related paper and code, dataset](https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html) 18 | 07 | **Transfer Learning** | [Related paper and code, dataset](https://github.com/artix41/awesome-transfer-learning) 19 | 08 | **Video Object Segmentation** | [Related paper and code, dataset](https://github.com/ArcherFMY/Paper_Reading_List/blob/master/Video-02-Video-Object-Segmentation.md) 20 | 09 | **Semantic Segmentation** | [Paper List](https://mp.weixin.qq.com/s/B3D5JxyRiUOaV0y8s7_w0g);[语义分割该如何走下去？](https://mp.weixin.qq.com/s/v-iFzmL1PAFkm1xRU8lUQg) 21 | 10 | **Instance Segmentation** | [实例分割最新最全面综述：从Mask R-CNN到BlendMask](https://mp.weixin.qq.com/s/clRKOIzj1lDSZs-XHhfHmQ),[单阶段实例分割（Single Shot Instance Segmentation）进展综述](https://mp.weixin.qq.com/s/jz0x-0bCG_avCb3FcQk4aQ) 22 | 11 | **Super-resolution** | [深度学习超分辨率综述](https://mp.weixin.qq.com/s/G55dxHfMYxWzjz4_8YnUaw) 23 | 12 | **Pose estimation** | [基于深度学习目标姿态估计的论文一览（2017-2020）](https://mp.weixin.qq.com/s/756TeGF6fWY_rFwuHKp1Dw); [简述 Human Pose with Deep-learning](https://zhuanlan.zhihu.com/p/345201439); [3D Human相关研究总结](https://mp.weixin.qq.com/s/us4gN4PhGPv5e8qd-JngxA) 24 | 13 | **Graph Neural Network** | [图神经网络GNN2019-2020顶会论文列表](https://mp.weixin.qq.com/s/8GzrzSDj1txdISRgvFM_aQ) 25 | 14 | **self-,semi & Un- supervision** | [图像分类最新技术综述论文: 21种半监督、自监督和无监督学习方法](https://mp.weixin.qq.com/s/tJaNpW7TyUowdn9JRBVnJQ) 26 | 15 | **Generative Adversarial Networks** | [史上最全GAN综述2020版：算法、理论及应用](https://mp.weixin.qq.com/s/1oAcoxfno1m9tIHGGDt7dA) 27 | 16 | **Stereo Matching** | [双目深度估计中的自监督学习概览](https://mp.weixin.qq.com/s/I75Y_j5M4gI-muEaD1VTYQ) 28 | 17 | **Self-supervision Learning** | [一文读懂 Self-supervision Learning](https://mp.weixin.qq.com/s/_Ck0cCXeCDhSythqH2aKxQ) 29 | 18 | **Edge Detection** | [Awesome-Edge-Detection-Papers](https://github.com/MarkMoHR/Awesome-Edge-Detection-Papers) 30 | 19 | **Representation Learning** | [什么是Representation Learning？](https://zhuanlan.zhihu.com/p/136554341) 31 | 20 | **Attention technology** | [Attention 相关主流研究](https://paperswithcode.com/methods/category/attention-mechanisms) 32 | 21 | **few/zero/single shot learning** | [小样本元学习最新综述](https://arxiv.org/abs/2007.15484) 33 | 22 | **Deep Active learning** | [深度主动学习最新综述2020](https://mp.weixin.qq.com/s/eTQ6jhLEi0JASmUr1Kvt2A) 34 | 23 | **Medical model Uncertainty** | [医学图像模型不确定性论文和代码总结](https://github.com/JunMa11/MedUncertainty) 35 | 24 | **Visual Transformer** | [《视觉Transformer转换器》综述论文](https://www.zhuanzhi.ai/paper/40ab7c9e9bd080f833fda87da907a6b3) and [Performer: 基于正交随机特征的快速注意力计算](https://zhuanlan.zhihu.com/p/319866371?utm_source=wechat_session&utm_medium=social&utm_oi=808377522126454784) and [万能 Transformer，你应该知道的一切！](https://mp.weixin.qq.com/s/3_grKB92unblMbpi_eXOoQ) and [Code解析](https://mp.weixin.qq.com/s/cLPMJm4u67QDsJg0IkmYFQ) 36 | 25 | **Pose Estimation: A Survey in DL** | [基于深度学习的人体姿态估计综述：全面调研（2014-2020）](https://zhuanlan.zhihu.com/p/339527650) 37 | 26 | **Event Camera** | [视频慢动作](http://rpg.ifi.uzh.ch/docs/CVPR21_Gehrig.pdf) and [合成孔径成像](https://arxiv.org/pdf/2103.02376.pdf) 38 | 27 | **RGB-D Semantic Segmentation** | [RGBD语义分割总结](https://github.com/Yangzhangcst/RGBD-semantic-segmentation) 39 | 28 | **Diffusion Model** | [生成扩散模型漫谈](https://kexue.fm/archives/9119) 40 | 41 | 42 | ## Related useful links 43 | 44 | + Notes 45 | 46 | **No.** | **Name** | **link** 47 | :-: | :-: | :- 48 | 01 | **Notes** | [“卷积”中‘卷’和‘积分’的意义是什么](https://mp.weixin.qq.com/s/PtPepSd2qtCLcVWWaLGwhQ). 49 | 02 | **Notes** | [DL中的基本概念笔记](https://mp.weixin.qq.com/s/bHYJamDLDMCGvZ6K0J9GZQ). 50 | 03 | **Notes** | [神经网络架构搜索的简述理解](https://www.leiphone.com/news/201907/ftBwyOKJUNrx2Cke.html). 51 | 04 | **Notes** | [DL中各种Models的一个代码梳理和总结](https://github.com/PaddlePaddle/models). 52 | 05 | **Notes** | [显著性物体检测领域中评估方法的解释-MAE](https://blog.csdn.net/StupidAutofan/article/details/79556087),[PR-curves](https://blog.csdn.net/StupidAutofan/article/details/79583531),[F-measure](https://blog.csdn.net/StupidAutofan/article/details/79583450) 53 | 06 | **Notes** | [十大CNN结构,简要介绍和差别](https://mp.weixin.qq.com/s/_e6H7IDrdbmdmOBjgIHApQ). 54 | 07 | **Notes** | [10大CNN核心模型的解析和代码](https://mp.weixin.qq.com/s/bcYwIW6VpjG0IUf5tSUuMg). 55 | 08 | **Notes** | [讲述FishNet,并做了个很好的task级任务的梳理](https://blog.csdn.net/P_LarT/article/details/89917706) 56 | 09 | **Notes** | [目标检测常用网络简要梳理](https://mp.weixin.qq.com/s/ObHn-VAXtuaPuUi1XDXr6A). 57 | 10 | **Notes** | [基于Keras的卷积神经网络（CNN）可视化](https://blog.csdn.net/weiwei9363/article/details/79112872). 58 | 11 | **Notes** | [张俊林_知乎-NLP](https://www.zhihu.com/people/zhang-jun-lin-76/posts). 59 | 12 | **Notes** | [Transformer1](https://jalammar.github.io/illustrated-transformer/) and [Transformer2](http://nlp.seas.harvard.edu/2018/04/03/attention.html).[and Transformer pytorch implement](https://blog.csdn.net/stupid_3/article/details/83184691). 60 | 13 | **Notes** | [可视化Transformer](https://zhuanlan.zhihu.com/p/54356280). 61 | 14 | **Notes** | [自然语言处理三大特征提取器（CNN/RNN/TF）比较](https://zhuanlan.zhihu.com/p/54743941). 62 | 15 | **Notes** | [Attention,GPT,Elmo,BERT](https://blog.csdn.net/weixin_42446330/article/details/86710838). 63 | 16 | **Notes** | [BERT](https://www.cnblogs.com/rucwxb/p/10277217.html). 64 | 17 | **Notes** | [From Word Embedding to Bert-summary](https://zhuanlan.zhihu.com/p/49271699?utm_source=wechat_session&utm_medium=social&from=groupmessage&isappinstalled=0). 65 | 18 | **Notes** | [命名实体识别 biLSTM+CRF](https://blog.csdn.net/xxzhix/article/details/81514040). 66 | 19 | **Notes** | [立体匹配综述](https://mp.weixin.qq.com/s/cOHAQX12k19eogxfpk95tA). 67 | 20 | **Notes** | [一文看懂自然语言理解(NLU)](https://mp.weixin.qq.com/s/dHZTdN6RHdUpmaCcGfxwBA). 68 | 21 | **Notes** | [32个实用算法](https://mp.weixin.qq.com/s/8Y_1Ky1CBjOpA1PZUTBVEA). 69 | 22 | **Notes** | [计算机视觉领域如何从别人的论文里获取自己的idea？](https://mp.weixin.qq.com/s/vnyra_xcg9D6NUNVpKtP0Q). 70 | 23 | **Notes** | [立体匹配综述](https://mp.weixin.qq.com/s/cOHAQX12k19eogxfpk95tA). 71 | 24 | **Notes** | [一个经验性探索：CNN是靠什么线索学习到深度信息的？](https://mp.weixin.qq.com/s/msKpZb2TLL2BLqqoPwrGrg) 72 | 25 | **Notes** | [目标检测和感受野的总结和想法](https://mp.weixin.qq.com/s/-FXkLydr96ZTeJZomD2jjg) 73 | 26 | **Notes** | [GAN 和 VAE 的本质区别是什么？](https://www.zhihu.com/question/317623081/answer/1064403866) 74 | 27 | **Notes** | [语义SLAM近五年发展及研究趋势](https://mp.weixin.qq.com/s/F-BulF8Xg0fq2wVMUHj6mA) & [SLAM面试问题大全](https://mp.weixin.qq.com/s/m8ZM2MCEETFpqhIru4ESBQ) 75 | 28 | **Notes** | [谈谈CNN中的位置和尺度问题](https://zhuanlan.zhihu.com/p/113443895) 76 | 29 | **Notes** | [CNN可视化，10层-所有细节](https://mp.weixin.qq.com/s/Oxb9ji1Bd8hFWUgsXp6Pew) 77 | 30 | **Notes** | [图像处理初学者应该学习的100个问题-你都学会了吗？](https://zhuanlan.zhihu.com/p/91120861) 78 | 31 | **Notes** | [深入理解计算机视觉中的损失函数](https://mp.weixin.qq.com/s/lw9frtqocqsS-q2KGfzO1Q) 79 | 32 | **Notes** | [关于CNN模型可解释性的思考__【1】](https://www.jianshu.com/p/1d7b5c4ecb93)and [2-续](https://www.jianshu.com/p/b52efa66154e) 80 | 33 | **Notes** | [Adam那么棒，为什么还对SGD念念不忘？一个框架看懂深度学习优化算法](https://mp.weixin.qq.com/s/EmWRaAOTNYE0Maf6_r41oA) 81 | 34 | **Notes** | [计算机视觉中的半监督学习](https://mp.weixin.qq.com/s/a2QpQ8B7txLfBosGnH8vTQ) 82 | 35 | **Notes** | [Dropout技术一览：可视化解释以及在DNN/CNN/RNN中的应用](https://mp.weixin.qq.com/s/uoY9wSqinDkIhubJSdhKqg) 83 | 36 | **Notes** | [Anchor-free应用一览](https://zhuanlan.zhihu.com/p/163266388) 84 | :triangular_flag_on_post:37 | **Notes** | [一文读懂Faster RCNN](https://zhuanlan.zhihu.com/p/31426458) 85 | 38 | **Notes** | [ranking loss度量学习，一个非end-to-end的相似性分布度量](https://zhuanlan.zhihu.com/p/158853633) 86 | 39 | **Notes** | [解决数据样本不均衡的常见策略OHEM,focal loss](https://mp.weixin.qq.com/s/iOAICJege2b0pCVxPkvNiA) 87 | :triangular_flag_on_post:40 | **Notes** | [基于深度卷积神经网络的小样本分割算法综述](https://mp.weixin.qq.com/s/P6ClhsUuRMp6BoBiJh021g) 88 | 40 | **Notes** | [一步一步讲解卷积神经网络 from 吴恩达课件](https://mp.weixin.qq.com/s/KANPxk9BbsPesLuiiT9EGw) 89 | 41 | **Notes** | [如何寻找和阅读顶会论文？深度之眼](https://zhuanlan.zhihu.com/p/315578622) 90 | 42 | **Notes** | [变形卷积核、可分离卷积？卷积神经网络中十大拍案叫绝的操作](https://zhuanlan.zhihu.com/p/28749411) 91 | 43 | **Notes** | [Ensemble 和 蒸馏/自蒸馏 的提升分析](https://mp.weixin.qq.com/s/ai0ktrtR2aY8g66F_PW0Hg) 92 | :triangular_flag_on_post: 44 | **Notes:triangular_flag_on_post:** | [交叉熵损失函数原理详解](https://blog.csdn.net/b1055077005/article/details/100152102) 93 | 44 | **Notes** | [一文看尽深度学习中的20种卷积](https://mp.weixin.qq.com/s/5zwQPwZcWXZWPam5Jagy1Q) 94 | 45 | **Notes** | [数字图像处理:边缘检测(Edge detection operators)](https://zhuanlan.zhihu.com/p/59640437) 95 | 46 | **Notes** | [CE and MSE loss 区别？, CE for classify, MSE for regression](https://mp.weixin.qq.com/s/YS5tmr03EgxE0GlaVBdPPA) 96 | :triangular_flag_on_post:47 | **Notes** | [多任务学习中各loss权重应该如何设计呢?](https://www.zhihu.com/question/359962155) 97 | :triangular_flag_on_post:48 | **Notes** | [transformer模型创新思路总结](https://mp.weixin.qq.com/s/MM7S1_fQ2n3ZaCKMzcFMxw) 98 | :triangular_flag_on_post:49 | **Notes** | [语义分割中的Cross Entropy Loss总结](https://blog.csdn.net/Fcc_bd_stars/article/details/105158215) 99 | :triangular_flag_on_post:50 | **Notes** | [Event 事件相机的原理与应用简介](https://mp.weixin.qq.com/s/6uhqOb0TTz7gFmVq6bX4aA) 100 | :triangular_flag_on_post:51 | **Notes** | [张祥雨 - 大一统模型的理解 - fit Proposal](https://mp.weixin.qq.com/s/BcJFFXcQylh1MLb5HEDieg) 101 | :triangular_flag_on_post:52 | **Notes** | [大模型的Prompt Tuning/Adaption](https://mp.weixin.qq.com/s/0AAMzPCgmsXGxfLlHy3F5g) & [LoRA](https://mp.weixin.qq.com/s/4wn4cDEkmXhOiwggLpLiRw) & [中文详解 Adapter-Tuning](https://blog.csdn.net/weixin_48185819/article/details/124408981) 102 | 103 | 104 | + Coding 105 | 106 | **No.** | **Name** | **link** 107 | :-: | :-: | :- 108 | 01 | **Code** | [33个神经网络训练技巧](https://mp.weixin.qq.com/s/GPNE2MZt-875nQZYRSF5YQ). 109 | 02 | **Code** | [pytorch查看网络中的参数](https://blog.csdn.net/appleml/article/details/81000301). 110 | 03 | **Code** | [pytorch trick超有用](https://mp.weixin.qq.com/s/o-V07uM5NBn-0kQOQYrImw) and [竞赛中总结出来的图像分割的Tips和Tricks](https://mp.weixin.qq.com/s/2RE-rArsbw_Z2P-Uq8RWWQ). 111 | 04 | **Code** | [PyTorch-提取神经网络中间层特征进行可视化](https://www.jianshu.com/p/2fe73baa09b8?utm_source=oschina-app). 112 | 05 | **Code** | [感受野计算](https://cloud.tencent.com/developer/article/1179175)and[here](https://blog.csdn.net/Kerrwy/article/details/82430530). 113 | 06 | **Code** | [医学图像分割的loss汇总](https://github.com/JunMa11/SegLoss). 114 | 07 | **Tools** | [如何在科研论文中画出漂亮的插图？](https://mp.weixin.qq.com/s/jg4B5zKGajR3IX85altEMA). 115 | 08 | **Tools** | [Kaggle比赛之后，一份图像分割炼丹的「奇技淫巧」](https://zhuanlan.zhihu.com/p/137966918?utm_source=wechat_session&utm_medium=social&utm_oi=37894152519680). 116 | 09 | **Tools** | [【资源分享总结】卷积神经网络中的即插即用模块](https://mp.weixin.qq.com/s/iDiEqgMqA_EeAVdmfnMaAA)和对应[源码](https://github.com/pprp/SimpleCVReproduction/tree/master/Plug-and-play%20module). 117 | 10 | **Code** | [一行代码缓解过拟合 ICML](https://zhuanlan.zhihu.com/p/163676138?utm_source=ZHShareTargetIDMore&utm_medium=social&utm_oi=37894152519680). 118 | 11 | **Tools** | [R 数据可视化 圈图](https://zhuanlan.zhihu.com/p/161678252) and [tSNE 高维数据可视化](https://blog.csdn.net/qq_28888837/article/details/89278307) 119 | 12 | **Tools** | [动态数据可视化极简教程](https://zhuanlan.zhihu.com/p/183859890) 120 | :triangular_flag_on_post:13 | **Code** | [Pytorch 常踩的坑](https://zhuanlan.zhihu.com/p/180020358) and [Pytorch Tricks](https://github.com/zxdefying/pytorch_tricks) and [深度学习调参技巧-wechat](https://mp.weixin.qq.com/s/YINkYc4MkYQsqKHJzyFw8Q) and [常用tricks-原理与代码汇总](https://mp.weixin.qq.com/s/ujr8XubG9jpvM-zOGcZxRw) and [Pytorch17个炼丹技巧](https://mp.weixin.qq.com/s/tl_yhr-sokLVJ3TXBkv_wA) 121 | :triangular_flag_on_post:14 | **Blog** | [深度学习调参技巧——知乎正版](https://www.zhihu.com/question/25097993) 122 | 15 | **Tools** | [Matplotlib 最具价值的50个可视化项目](https://www.kesci.com/home/project/5f4b3f146476cf0036f7e51e) 123 | 16 | **Tools** | [当代研究生应当掌握的并行训练方法-单机多卡](https://zhuanlan.zhihu.com/p/98535650) 124 | 17 | **Code** | [深度学习代码速查表](https://zhuanlan.zhihu.com/p/61013882) 125 | :triangular_flag_on_post:18 | **Tools** | [科研论文绘图实操干货汇总，11类Matplotlib图表，含代码](https://mp.weixin.qq.com/s/gxjZdNamXU2dKurYU53x1g) and [微生信，各种画图教程](http://www.bioinformatics.com.cn/?p=3) and [知乎](https://www.zhihu.com/question/312825165/answer/1595239374) and [绘制和弦图,饼图,gene图](https://zhuanlan.zhihu.com/p/331713058) 126 | :triangular_flag_on_post:19 | **Code** | [特征可视化技术(CAM)原理，以及Heat map实现](https://mp.weixin.qq.com/s/WKImrtpjQBziz6Wr5uOGNw) 127 | 20 | **Code** | [PyTorch特性,例如mask/cosine](https://mp.weixin.qq.com/s/CQSj7M6s0FJNtxMsN22vBw) 128 | :triangular_flag_on_post:21 | **Tools** | [好看的数据可视化](https://www.zhihu.com/question/26620885/answer/781273296) & [Bokeh圈图](https://docs.bokeh.org/en/latest/docs/gallery/burtin.html) 129 | 21 | **Code** | [PyTorch在NLP任务中获取预训练词向量, gensin & glove](https://blog.csdn.net/nlpuser/article/details/83627709?utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromMachineLearnPai2%7Edefault-1.control&dist_request_id=&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromMachineLearnPai2%7Edefault-1.control) 130 | 22 | **Drawing Tools** | [Python 可视化视频课](https://mp.weixin.qq.com/s/TSaiaJ6fF2zHqW8Qbdz0vA) 131 | :triangular_flag_on_post:23 | **Annotated Tools** | [高效交互式分割标注软件](https://pypi.org/project/EISeg/) 132 | :triangular_flag_on_post:24 | **Annotated Tools** | [医学标注Pair智能标注神器](https://www.eet-china.com/mp/a79025.html) 133 | :triangular_flag_on_post:25 | **Project Tools** | [项目主页template](https://github.com/richzhang/webpage-template) 134 | :triangular_flag_on_post:26 | **Annotated Tools** | [SAM-empowered 标注神器](https://github.com/vietanhdev/anylabeling) 135 | :triangular_flag_on_post:26 | **Analysis Tools** | [FiftyOne 分析数据集、评估模型、潜入层可视化、find ann mistakes](https://docs.voxel51.com) 136 | 137 | ## Writing skills 138 | 139 | **No.** | **Name** | **link** 140 | :-: | :-: | :- 141 | 01 | **审稿、写作、注意完整流程** | [北大 施柏鑫](https://mp.weixin.qq.com/s/xB0l3hsFDES3RtBtOb5MPg) 142 | 02 | **如何做一个AI领域审稿人?** | [罗杰波](https://mp.weixin.qq.com/s/Zuey0kbNPQLWR_696fzAhA) 143 | :triangular_flag_on_post:03 | **读科研论文的三个层次、四个阶段与十个问题** | [沈向洋](https://zhuanlan.zhihu.com/p/163617565) 144 | 04 | **如何写/审AI领域的论文【VALSE Webinar】Panel实录** | [杨明玄、张磊、梅涛等](https://mp.weixin.qq.com/s/KZBs2yC05eEfcU0qHrlNSg) 145 | 05 | **Latex书写伪代码Algorithm2e指南** | [latex书些algorithm](https://zhuanlan.zhihu.com/p/166418214) 146 | 06 | **哥大读博五年总结 by Mike zhou** | [presentation skills (slides and papers)](https://zhuanlan.zhihu.com/p/338191470) 147 | 07 | **学术论文投稿与返修（Rebuttal）经验分享** | [Rebuttal 经验贴](https://zhuanlan.zhihu.com/p/344008879) 148 | 149 | ## Great Courses 150 | 151 | **No.** | **Name** | **link** 152 | :-: | :-: | :- 153 | 01 | **孙剑-中文深度学习课程** | [Video Link](https://mp.weixin.qq.com/s/bQUzsFybBpnPfINp8ikRgw) 154 | 02 | **2020深度学习基础文章合集-有道** | [Notes download](https://pan.baidu.com/s/1u4ZjmKBF37ToVxgczrdy9A), scxy 155 | 03 | **最新学习技术-人工智能博客 Tian Feng** | [技术博客](https://tianfeng.space/) 156 | 157 | 158 | ## Dataset list 159 | 160 | **No.** | **Name** | **link** 161 | :-: | :-: | :- 162 | 01 | **List of the most complete datasets** | [website link](https://www.datasetlist.com) 163 | 02 | **人脸识别数据集汇总** | [website link](https://mp.weixin.qq.com/s/S4pVjQEutDJHitOnh55x0A) 164 | 03 | **AI数据服务平台提供商Graviti** | [website link](https://www.graviti.com) 165 | 166 | 167 | 168 | ## Other authors' paper list 169 | 170 | **No.** | **link** 171 | :-: | :-: 172 | 01 | [github: xw-hu](https://github.com/xw-hu/Reading-List) 173 | 02 | [张俊林_知乎-NLP](https://www.zhihu.com/people/zhang-jun-lin-76/posts) 174 | 175 | 176 | 177 | # Useful toolbox 178 | **No.** | **Tools.** | **Link** 179 | :-: | :-: | :- 180 | 01 | **Vimplus** | https://github.com/chxuan/vimplus 181 | 02 | **Tmux** | https://blog.csdn.net/listen2you/article/details/78597093 182 | 03 | **Git** | https://www.liaoxuefeng.com/wiki/896043488029600/900785521032192 183 | 04 | **Hadoop fs** | http://hadoop.apache.org/docs/r1.0.4/cn/hdfs_shell.html 184 | 05 | **crontab** | https://www.cnblogs.com/ftl1012/p/crontab.html 185 | 06 | **grep** | https://blog.csdn.net/newchitu/article/details/84770915 186 | 07 | **iterm2 screen** | https://www.jianshu.com/p/4a27bb4c216c 187 | 08 | **iterm2 rz/sz** | https://www.jianshu.com/p/d1bef4140e34 188 | 09 | **sypder debug** | https://jingyan.baidu.com/article/2fb0ba400ea08f40f3ec5f7e.html 189 | 10 | **Numpy notes** | https://github.com/juliangaal/python-cheat-sheet/blob/master/pdfs/NumPy.pdf 190 | 11 | **Project Template1** | https://openworldtracking.github.io/ 191 | 12 | **Project Template2** | https://github.com/nerfies/nerfies.github.io/ 192 | 193 | 194 | --------------------------------------------------------------------------------