[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-10601":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":14,"subscribersCount":14,"size":14,"stars1d":14,"stars7d":14,"stars30d":14,"stars90d":14,"forks30d":14,"starsTrendScore":14,"compositeScore":15,"rankGlobal":9,"rankLanguage":9,"license":9,"archived":16,"fork":16,"defaultBranch":17,"hasWiki":18,"hasPages":16,"topics":19,"createdAt":9,"pushedAt":9,"updatedAt":24,"readmeContent":25,"aiSummary":26,"trendingCount":14,"starSnapshotCount":14,"syncStatus":27,"lastSyncTime":28,"discoverSource":29},10601,"ipynb_playground","julienr\u002Fipynb_playground","julienr","Various ipython notebooks",null,"Jupyter Notebook",1551,267,43,0,52.28,false,"master",true,[20,21,22,23],"bitcoin","blockchain","perceptron","python","2026-06-12 04:00:51","My ipython notebook playground\n==============================\n\nBest viewed on [nbviewer](http:\u002F\u002Fnbviewer.ipython.org\u002Fgithub\u002Fjulienr\u002Fipynb_playground\u002F).\n\nContents\n--------\n\n- dumbcoin\n  - [bitcoin\u002Fdumbcoin\u002Fdumbcoin.ipynb](bitcoin\u002Fdumbcoin\u002Fdumbcoin.ipynb) : A bitcoin-like educational blockchain implementation.\n\n- perceptron\n  - [perceptron\u002Fperceptron.ipynb](perceptron\u002Fperceptron.ipynb) : A single unit perceptron implementation in python, with a nice video of the training if you run the notebook locally.\n  - [perceptron\u002Fperceptron_theano.ipynb](perceptron\u002Fperceptron_theano.ipynb) : Perceptron but with Theano this time\n\n- keras (deep learning)\n  - [keras\u002Fconvmnist\u002Fkeras_cnn_mnist.ipynb](keras\u002Fconvmnist\u002Fkeras_cnn_mnist.ipynb) : Keras' CNN example on MNIST with weights and convolutions visualization\n  - [keras\u002Fconvmnist\u002Fkeras_conv_autoencoder_mnist.ipynb](keras\u002Fconvmnist\u002Fkeras_conv_autoencoder_mnist.ipynb) : Convolutional autoencoder on MNIST\n  - [keras\u002Flearning_cosine.ipynb](keras\u002Flearning_cosine.ipynb): Learning a cosine with a simple NN using keras\n\n- strava API (GPS sport tracking service)\n  - [strava\u002Fstrava_get_activities.ipynb](strava\u002Fstrava_get_activities.ipynb) : Getting your activities from strava\n  - [strava\u002Fanalytics.ipynb](strava\u002Fanalytics.ipynb) : Loading them and doing some basics analytics\n\n- misc_ml (Some notes about machine learning)\n  - [misc_ml\u002Fcurse_dimensionality.ipynb](misc_ml\u002Fcurse_dimensionality.ipynb) : Plots about the curse of dimensionality\n","该项目是一个集合了多种主题的IPython笔记本合集，旨在提供教育和实验用途。核心功能包括比特币区块链的简化实现、感知器算法的Python实现及其Theano版本、使用Keras进行深度学习的基础示例（如卷积神经网络在MNIST数据集上的应用）、从Strava API获取运动活动数据并进行基本分析等。技术特点在于利用Jupyter Notebook格式，便于交互式学习与代码展示。适合对区块链技术、机器学习入门以及数据分析感兴趣的开发者或学生作为学习资源，在实际动手操作中加深理解。",2,"2026-06-11 03:29:19","top_topic"]