├── README.md ├── assignment1 ├── README.md ├── collectSubmission.sh ├── collect_submission.ipynb ├── cs231n │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-37.pyc │ │ ├── data_utils.cpython-37.pyc │ │ ├── features.cpython-37.pyc │ │ ├── gradient_check.cpython-37.pyc │ │ ├── layer_utils.cpython-37.pyc │ │ ├── layers.cpython-37.pyc │ │ ├── optim.cpython-37.pyc │ │ ├── solver.cpython-37.pyc │ │ └── vis_utils.cpython-37.pyc │ ├── classifiers │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── fc_net.cpython-37.pyc │ │ │ ├── k_nearest_neighbor.cpython-37.pyc │ │ │ ├── linear_classifier.cpython-37.pyc │ │ │ ├── linear_svm.cpython-37.pyc │ │ │ └── softmax.cpython-37.pyc │ │ ├── fc_net.py │ │ ├── k_nearest_neighbor.py │ │ ├── linear_classifier.py │ │ ├── linear_svm.py │ │ └── softmax.py │ ├── data_utils.py │ ├── datasets │ │ └── get_datasets.sh │ ├── features.py │ ├── gradient_check.py │ ├── layer_utils.py │ ├── layers.py │ ├── optim.py │ ├── solver.py │ └── vis_utils.py ├── features.ipynb ├── knn.ipynb ├── makepdf.py ├── softmax.ipynb ├── svm.ipynb └── two_layer_net.ipynb ├── assignment2 ├── BatchNormalization.ipynb ├── ConvolutionalNetworks.ipynb ├── Dropout.ipynb ├── FullyConnectedNets.ipynb ├── PyTorch.ipynb ├── README.md ├── TensorFlow.ipynb ├── collectSubmission.sh ├── collect_submission.ipynb ├── cs231n │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-37.pyc │ │ ├── data_utils.cpython-37.pyc │ │ ├── fast_layers.cpython-37.pyc │ │ ├── gradient_check.cpython-37.pyc │ │ ├── im2col.cpython-37.pyc │ │ ├── layer_utils.cpython-37.pyc │ │ ├── layers.cpython-37.pyc │ │ ├── optim.cpython-37.pyc │ │ ├── solver.cpython-37.pyc │ │ └── vis_utils.cpython-37.pyc │ ├── build │ │ └── temp.linux-x86_64-3.7 │ │ │ └── im2col_cython.o │ ├── classifiers │ │ ├── __pycache__ │ │ │ ├── cnn.cpython-37.pyc │ │ │ └── fc_net.cpython-37.pyc │ │ ├── cnn.py │ │ └── fc_net.py │ ├── data_utils.py │ ├── datasets │ │ └── get_datasets.sh │ ├── fast_layers.py │ ├── gradient_check.py │ ├── im2col.py │ ├── im2col_cython.c │ ├── im2col_cython.cpython-37m-x86_64-linux-gnu.so │ ├── im2col_cython.pyx │ ├── layer_utils.py │ ├── layers.py │ ├── notebook_images │ │ ├── batchnorm_graph.png │ │ ├── kitten.jpg │ │ ├── normalization.png │ │ └── puppy.jpg │ ├── optim.py │ ├── setup.py │ ├── solver.py │ └── vis_utils.py ├── makepdf.py └── requirements.txt └── assignment3 ├── Generative_Adversarial_Networks.ipynb ├── LSTM_Captioning.ipynb ├── Network_Visualization.ipynb ├── README.md ├── RNN_Captioning.ipynb ├── Self_Supervised_Learning.ipynb ├── Transformer_Captioning.ipynb ├── collectSubmission.sh ├── collect_submission.ipynb ├── cs231n ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-37.pyc │ ├── captioning_solver.cpython-37.pyc │ ├── captioning_solver_transformer.cpython-37.pyc │ ├── coco_utils.cpython-37.pyc │ ├── data_utils.cpython-37.pyc │ ├── gan_pytorch.cpython-37.pyc │ ├── gradient_check.cpython-37.pyc │ ├── image_utils.cpython-37.pyc │ ├── net_visualization_pytorch.cpython-37.pyc │ ├── optim.cpython-37.pyc │ ├── rnn_layers.cpython-37.pyc │ └── transformer_layers.cpython-37.pyc ├── captioning_solver.py ├── captioning_solver_transformer.py ├── classifiers │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-37.pyc │ │ ├── rnn.cpython-37.pyc │ │ └── transformer.cpython-37.pyc │ ├── rnn.py │ └── transformer.py ├── coco_utils.py ├── data_utils.py ├── datasets │ ├── get_coco_captioning.sh │ ├── get_datasets.sh │ ├── get_imagenet_val.sh │ └── imagenet_val_25.npz ├── gan_pytorch.py ├── gradient_check.py ├── image_utils.py ├── net_visualization_pytorch.py ├── optim.py ├── rnn_layers.py ├── simclr │ ├── __pycache__ │ │ ├── contrastive_loss.cpython-37.pyc │ │ ├── data_utils.cpython-37.pyc │ │ ├── model.cpython-37.pyc │ │ └── utils.cpython-37.pyc │ ├── contrastive_loss.py │ ├── data_utils.py │ ├── model.py │ └── utils.py └── transformer_layers.py ├── gan-checks.npz ├── images ├── 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