├── .gitignore ├── LICENSE ├── README.md ├── datasets ├── banner.png └── nab.zip ├── requirements.txt ├── section00_python_basics ├── Python_Basics_Exercises.ipynb ├── Tutorial1_Python_Basics.ipynb ├── Tutorial2_Python_Libraries.ipynb └── Tutorial3_Numpy.ipynb ├── section01_numpy_ml ├── data │ ├── K_means.gif │ ├── Linear_Regression.gif │ ├── faces.npy │ └── toy_data_two_moon.npz ├── notebooks │ ├── Averaged_Perceptron.ipynb │ ├── Linear_Regression_For_Classification.ipynb │ ├── Numpy_KMeans.ipynb │ └── load.py └── solutions │ ├── Averaged_Perceptron_Solutions.ipynb │ ├── Eigen_Faces.ipynb │ ├── KMeans_Basic_Solution.ipynb │ ├── KMeans_Broadcasting_Solution.ipynb │ ├── Linear_Regression_For_Classification_Solutions.ipynb │ ├── Non-Linear_Regression_For_Classification_Solutions.ipynb │ └── load.py ├── section02_pytorch_basics ├── data │ ├── K_means.gif │ ├── Linear_Regression.gif │ └── toy_data_two_moon.npz ├── notebooks │ ├── Pytorch1_KMeans.ipynb │ ├── Pytorch2_Linear_Logistic_Regression_For_Classification.ipynb │ ├── Tutorial1_Pytorch_Basics.ipynb │ └── load.py └── solutions │ ├── Pytorch1_KMeans_Solution.ipynb │ ├── Pytorch2_Linear_Logistic_Regression_For_Classification_Solution.ipynb │ └── load.py ├── section03_pytorch_mlp ├── data │ ├── MNIST.gif │ └── sine_wave.gif ├── notebooks │ ├── Pytorch0_Activation_Functions.ipynb │ ├── Pytorch1_MLP_Function_Approximation.ipynb │ └── Pytorch2_MLP_MNIST_Classification.ipynb └── solutions │ ├── Pytorch1_MLP_Function_Approximation_Solution.ipynb │ └── Pytorch2_MLP_MNIST_Classification_Solution.ipynb ├── section04_pytorch_cnn ├── data │ └── puppy.jpg ├── notebooks │ ├── Pytorch1_CNN_LeNet5.ipynb │ └── Tutorial_Convolutions.ipynb └── solutions │ ├── Network.py │ ├── Pytorch1_CNN_LeNet5_Solution.ipynb │ └── Pytorch1_CNN_LeNet5_Solution_With_Modules.ipynb ├── section05_transfer_learning ├── notebooks │ ├── Pytorch1_Transfer_Learning.ipynb │ ├── Trainer.py │ └── Tutorial_Residual_and_Skip_Connections.ipynb └── solutions │ ├── Pytorch1_Transfer_Learning_Solutions.ipynb │ └── Trainer.py ├── section06_pretraining_augmentations ├── notebooks │ ├── Pytorch1_Augmentations_and_Learning_Rates.ipynb │ ├── Pytorch2_Unsupervised_PreTraining.ipynb │ └── Trainer.py └── solutions │ ├── Pytorch1_Augmentations_and_Learning_Rates_Solutions.ipynb │ ├── Pytorch2_Unsupervised_PreTraining_Solutions.ipynb │ └── Trainer.py ├── section07_autoencoders ├── data │ └── VAE_3d.gif ├── notebooks │ ├── Pytorch1_Autoencoders.ipynb │ └── Pytorch2_Variational_Autoencoders.ipynb └── solutions │ ├── Pytorch1_Autoencoders_Solutions.ipynb │ ├── Pytorch2_Variational_Autoencoders_Solutions.ipynb │ └── Pytorch3_VQVAE.ipynb ├── section08_detection └── solutions │ ├── Datasets.py │ ├── Pytorch1_Bounding_Box_Detection_Solutions.ipynb │ ├── Pytorch2_Segmentation.ipynb │ ├── Trainer.py │ └── test_train_split.txt ├── section09_generation ├── data │ ├── GAN.jpg │ ├── MNIST_GAN_DEMO.gif │ ├── ob_bg_mask.png │ ├── ob_face_mask.png │ └── obama.png └── solutions │ ├── Extract_Features.ipynb │ ├── Pytorch1_DCGAN.ipynb │ ├── Pytorch2_Diffusion.ipynb │ ├── Pytorch3_Latent_Diffusion.ipynb │ ├── Pytorch4_Latent_Transformer_Diffusion.ipynb │ └── Unet.py ├── section10_interpretation ├── data │ ├── Breast-Cancer-Ribbon.png │ ├── breast-cancer.csv │ ├── fruit.jpg │ ├── husky_wolf1.png │ ├── husky_wolf2.png │ ├── imagenet_class_index.json │ ├── lime.png │ ├── lime_logo.jpg │ ├── penguin.jpg │ ├── puppy_kitten.jpg │ └── super_pixels.jpg └── solutions │ ├── Pytorch1_Interpretable_Explanations_Tabular.ipynb │ └── Pytorch2_Interpretable_Explanations_Images.ipynb ├── section11_rl ├── data │ ├── PPO_Clipping.png │ ├── PROCGEN.png │ └── coinrun_easy_rollout.gif ├── notebooks │ ├── Cartpole │ │ ├── Cartpole_DQN.ipynb │ │ ├── Cartpole_REINFORCE.ipynb │ │ └── Cartpole_actor_critic.ipynb │ ├── Deep_Reinforcement_Learning.pdf │ ├── Gridworlds │ │ ├── Actor_Critic_Learning.ipynb │ │ ├── Average_Returns.ipynb │ │ ├── Monte_Carlo.ipynb │ │ ├── Q_Learning_e_greedy.ipynb │ │ ├── REINFORCE_Grid_World.ipynb │ │ ├── TD_Learning.ipynb │ │ ├── TD_Learning_e_greedy.ipynb │ │ └── state_transitions.csv │ ├── PPO.pdf │ └── Reinforcement_Learning.pdf └── solutions │ └── Procgen_PPO.ipynb ├── section12_sequential ├── data │ ├── IDCJAC0009_086338_1800_Data.csv │ ├── IDCJAC0010_086338_1800_Data.csv │ └── weather.csv └── solutions │ ├── Dataset.py │ ├── Pytorch1_Autoregressive_MLP.ipynb │ ├── Pytorch2_Autoregressive_RNN.ipynb │ ├── Pytorch2_Autoregressive_RNN_NoFeedback.ipynb │ ├── Pytorch3_Autoregressive_LSTM.ipynb │ ├── Pytorch4_Autoregressive_LSTM_Seqence.ipynb │ ├── Pytorch5_LSTM_Many_To_One.ipynb │ ├── Pytorch6_LSTM_Text_Classification.ipynb │ ├── Pytorch7_LSTM_Text_Generation.ipynb │ └── Pytorch8_LSTM_Question_Answering.ipynb ├── section13_attention ├── data │ └── LSTM_Attention.jpg └── solutions │ ├── Pytorch1_Attention_Basics.ipynb │ ├── Pytorch2_LSTM_Attention_Text_Generation.ipynb │ └── Pytorch3_CNN_Self_Attention.ipynb ├── section14_transformers ├── data │ └── llm_architecture_comparison.png └── solutions │ ├── Pytorch1_Simple_Transformer_Text_Classification.ipynb │ ├── Pytorch1_Transformer_Text_Classification_Multi_Block.ipynb │ ├── Pytorch1_Transformer_Text_Classification_Multi_Block_IMDB.ipynb │ ├── Pytorch2_Transformer_Text_Generation.ipynb │ ├── Pytorch3_Transformer_Question_Answering.ipynb │ ├── Pytorch4_Vision_Transformers.ipynb │ ├── Pytorch5_Transformer_Image_Captioning.ipynb │ └── Pytorch5_Transformer_Image_Captioning_Pytorch_Layers.ipynb ├── section15_deploying_models ├── data │ ├── dog.jpg │ └── imagenet_classes.json └── solutions │ └── ONNX_Basics │ ├── Exporting_Pytorch_as_ONNX.ipynb │ ├── Running_ONNX_Model.ipynb │ └── onnx_inference.py └── section16_advanced_applications └── notebooks ├── Semantic_Clustering.ipynb └── Stock_Sentiment.ipynb /.gitignore: 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