rowid,Accension,Name,Author,Rating ,Notes,Animated/Interactive,Demo Link,Paper Link,Blog Link,Drive Link,Glitch Link,MNIST,ImageNet,CIFAR,Other,Tensorflow,TensorflowJS,Torch,ConvNetJS,SciKit,Numpy,Colab,Glitch,Python,JavaScript,CNN,MLP,Transformer,RNN,Image,NLP,Classification
1,1,Classify MNIST digits with a Convolutional Neural Network,Karpathy,5,,TRUE,https://cs.stanford.edu/people/karpathy/convnetjs/demo/mnist.html,,,,,TRUE,,,,,,,TRUE,,,,TRUE,,TRUE,TRUE,,,,TRUE,,
2,2,Classify CIFAR-10 with Convolutional Neural Network,Karpathy,5,,TRUE,https://cs.stanford.edu/people/karpathy/convnetjs/demo/cifar10.html,,,,,,,TRUE,,,,,TRUE,,,,TRUE,,TRUE,TRUE,,,,TRUE,,
3,3,ConvNetJS Deep Learning in your browser,Karpathy,5,,TRUE,https://cs.stanford.edu/people/karpathy/convnetjs/,,,,,TRUE,TRUE,,,,,,TRUE,,,,,,TRUE,,,,,TRUE,,TRUE
4,4,Tensorflow Playground,,5,Stores a specific NN in the url,TRUE,https://playground.tensorflow.org/,https://arxiv.org/abs/1708.03788,https://cloud.google.com/blog/products/ai-machine-learning/understanding-neural-networks-with-tensorflow-playground,,,,,,,,,,,,,,TRUE,,TRUE,,,,,,,TRUE
5,5,Looking inside a digit recognizer,,4,Demo of Tfjs-Vis,,https://storage.googleapis.com/tfjs-vis/mnist_internals/dist/index.html,,,,https://glitch.com/edit/#!/looking-inside-mnist-demo?path=README.md%3A7%3A73,TRUE,,,,,TRUE,,,,,,TRUE,,TRUE,,,,,TRUE,,
6,6,Softmax Demo,,3,Google Sheet,TRUE,https://docs.google.com/spreadsheets/d/1A0jMJD4rw1it2S8s7Qv7VWADZnD18d8bs3KwPtyBPzg/edit?usp=sharing,,,,,,,,,,,,,,,,,,,,,,,,,TRUE
7,7,Deep Visualization Toolbox,Yosinski,4,I would like to use this since it takes realtime input from a camera but installing it is involved. The video is worth watching. It uses a pre-trained network similar to AlexNet,TRUE,https://yosinski.com/deepvis,https://arxiv.org/abs/1506.06579,,,,,,,,,,,,,,,,TRUE,,,,,,TRUE,,TRUE
8,8,Teachable Machine,,5,,TRUE,https://teachablemachine.withgoogle.com/,https://dl.acm.org/doi/10.1145/3334480.3382839,,,,,TRUE,,,,TRUE,,,,,,TRUE,,TRUE,TRUE,,,,TRUE,,TRUE
9,9,A Neural Network in 11 lines of Python,Trask,4,A bare bones neural network implementation to describe the inner workings of backpropagation. Uses Numpy,,https://glitch.com/edit/console.html?minimal-ml-nn-11-lines-python-code,,,,,,,,,,,,,,TRUE,TRUE,TRUE,TRUE,,,,,,,,
10,10,No hidden layer MNIST,Shook,5,Show that a 10 neuron classifier can do pretty well on MNIST,,https://colab.research.google.com/drive/1HlIyYxVI2qszE4P0siZ9w2-ALDORvtV6,,https://hyp.is/BFsmSC1EEey18PemMVxPpA/cloud.google.com/blog/products/ai-machine-learning/understanding-neural-networks-with-tensorflow-playground,https://colab.research.google.com/drive/1HlIyYxVI2qszE4P0siZ9w2-ALDORvtV6,,TRUE,,,,TRUE,,,,,TRUE,TRUE,,TRUE,,,,,,TRUE,,
11,11,Word2Vec,,4,JSON weights. This is fun because it's so easy to understand what it's doing. It's all JavaScript. The weights are in a JSON file. There's no training. That's already been done to create the weights.,TRUE,https://turbomaze.github.io/word2vecjson/,https://github.com/turbomaze/word2vecjson,,,https://glitch.com/edit/#!/word2vec-demo-no-libs,,,,,,,,,,,,,,TRUE,,,,,,,
12,12,MNIST Digit Recognizer,Deotte,4,JSON weights.,TRUE,https://www.ccom.ucsd.edu/~cdeotte/programs/MNIST.html,,,,https://glitch.com/edit/#!/mnist-digit-recognizer?path=MNIST.html%3A644%3A35,TRUE,,,,,,,,,,,TRUE,,TRUE,,,,,TRUE,,
13,13,Neural Network Playground,Deotte,5,Simpler than Tensorflow Playground,TRUE,https://www.ccom.ucsd.edu/~cdeotte/programs/neuralnetwork.html,,,,,,,,,,,,,,,,,,TRUE,,,,,,,TRUE
14,14,Classifier Playground,Deotte,3,,TRUE,https://www.ccom.ucsd.edu/~cdeotte/programs/classify.html,,,,,,,,,,,,,,,,,,TRUE,,,,,,,TRUE
15,15,Universal Sentence Encoder,,3,Minimal,,https://hpssjellis.github.io/beginner-tensorflowjs-examples-in-javascript/tfjs-models/universal-sentence-encoder/index.html,https://arxiv.org/abs/1803.11175,,,https://glitch.com/edit/#!/universal-sentence-encoder-demo?path=README.md%3A1%3A0,,,,,,,,,,,,,,TRUE,,,TRUE,,,TRUE,
16,16,CNN Explainer,,4,Learn Convolutional Neural Network (CNN) in your browser!,TRUE,https://poloclub.github.io/cnn-explainer/,https://arxiv.org/abs/2004.15004,https://github.com/poloclub/cnn-explainer,,,,,TRUE,,,TRUE,,,,,,,,TRUE,TRUE,,,,TRUE,,TRUE
17,17,Deep Convolustional Neural Net,,4,In Google Sheets,TRUE,https://docs.google.com/spreadsheets/d/1SwfVctd4TjdN2S8BL09ktpQN_41sARYzD3NEHyr-8Z0/edit?usp=sharing,,https://towardsdatascience.com/building-a-deep-neural-net-in-google-sheets-49cdaf466da0,https://docs.google.com/spreadsheets/d/1_0a6MkcGNvWOkI6hYqrm-ZAyxQD3e9xgzLdWgNp5a2E/edit?usp=sharing,,TRUE,,,,,,,,,,,,,,TRUE,,,,TRUE,,TRUE
18,18,"MLP-Mixer, gMLP,  FNET",Khalid Salama,3,"MLP-Mixer, FNet, and gMLP models for CIFAR-100 image classification., It is to show simple implementations of their main building blocks.",,https://keras.io/examples/vision/mlp_image_classification/,https://arxiv.org/abs/2105.01601,,https://colab.research.google.com/drive/1gJj2xAiexNj99po95uRFesc0ek-wZwER#scrollTo=czIFW9bQcj_M,,,,TRUE,,TRUE,,,,,,TRUE,,TRUE,,,TRUE,,,TRUE,,TRUE
19,19,MLP-Mixer image classification ,,3,MLP-Mixer,,https://colab.research.google.com/github/sayakpaul/MLPMixer-jax2tf/blob/main/classification.ipynb,https://arxiv.org/abs/2105.01601,https://tfhub.dev/sayakpaul/mixer_b16_i1k_classification/1,https://colab.research.google.com/drive/1I2-x_P0P9uFzF2NzhtQWho4dokIlD9F9?usp=sharing,,,,,,,,,,,,,,,,,,,,,,
20,20,CS231n Convolutional Demo,,5,Great demo! It helped me understand CNN details,TRUE,"https://cs231n.github.io/convolutional-networks/#:~:text=architectures%20section%20below.-,Convolution%20Demo,-.%20Below%20is%20a",,https://cs231n.github.io/convolutional-networks/,,,,,,,,,,,,,,,,,TRUE,,,,TRUE,,
21,21,Minimal Bert Q&A demo,,3,Take quite a few seconds to get results,,https://bert-qna.glitch.me/,,https://github.com/tensorflow/tfjs-models/tree/master/qna,,https://glitch.com/edit/#!/bert-qna,,,,,,TRUE,,,,,,TRUE,,TRUE,,,TRUE,,,TRUE,
22,22,ECCO readme.md examples.ipynb,Alammar,4,,TRUE,https://colab.research.google.com/github/jalammar/ecco/blob/main/notebooks/readme.md%20examples.ipynb,https://aclanthology.org/2021.acl-demo.30/,,https://docs.google.com/spreadsheets/d/1KALWW9jxoicGoos-kAhDAsET94hY6Oo85EVsl_9StwI/edit?usp=sharing,,,,,,,,,,,,TRUE,,TRUE,,,,TRUE,,,TRUE,TRUE
23,23,Interfaces for Explaining Transformer Language Models,Alammar,5,Uses Ecco,TRUE,https://jalammar.github.io/explaining-transformers/,https://aclanthology.org/2021.acl-demo.30/,,,,,,,,,,,,,,,,TRUE,TRUE,,,TRUE,,,TRUE,TRUE
24,24,05- Neuron Factors.ipynb,Alammar,5,Uses Ecco,TRUE,https://colab.research.google.com/github/jalammar/ecco/blob/main/notebooks/Ecco_Neuron_Factors.ipynb,https://aclanthology.org/2021.acl-demo.30/,,,,,,,,,,,,,,TRUE,,TRUE,,,,TRUE,,,TRUE,