├── .gitignore ├── Cargo.lock ├── Cargo.toml ├── LICENSE ├── README.md ├── assets ├── graph_parents_sequence.png ├── matmul_neural_network.png ├── rotta-rs_logo_for_github.png ├── rotta_logo.png └── tensor_structure.png ├── book ├── arrayy.md ├── guide.md ├── learn.md └── section │ ├── 1_tensor.md │ ├── 2_Activation_Function.md │ ├── 3_Loss_Function.md │ ├── 4_Module.md │ ├── 5_Optimizer.md │ ├── 6_simple_AI_model.md │ ├── 7_Dataset_and_DataHandler.md │ ├── 8_par_datahandler.md │ └── 9_saving_parameters.md ├── dataset ├── dataset.md └── nlp │ └── Dataset for chatbot_Georgy Silkin │ ├── dialogs.txt │ └── source.txt ├── experimental_model ├── experimental_model.md ├── gru_seq2seq │ ├── main.rs │ └── model.rs └── lstm_seq2seq │ ├── main.rs │ └── model.rs ├── philosophy_of_rotta_rs ├── 1_why_rotta_rs_was_developed.md ├── 2_tensor_and_arrayy.md └── 3_tensor_philosophy.md ├── src ├── lib.rs ├── main.rs └── rotta_rs_module │ ├── _unsafe │ └── mod.rs │ ├── activation │ ├── mod.rs │ ├── relu.rs │ ├── sigmoid.rs │ ├── softmax.rs │ ├── softplus.rs │ └── tanh.rs │ ├── arrayy │ ├── array.rs │ ├── config │ │ ├── arrayy_display.rs │ │ ├── arrayy_trait.rs │ │ └── mod.rs │ ├── function │ │ ├── abs.rs │ │ ├── argmax.rs │ │ ├── argmin.rs │ │ ├── concat.rs │ │ ├── exp.rs │ │ ├── flatten.rs │ │ ├── ln.rs │ │ ├── mean.rs │ │ ├── mean_axis.rs │ │ ├── mod.rs │ │ ├── negative_indexing.rs │ │ ├── permute.rs │ │ ├── power.rs │ │ ├── reshape.rs │ │ ├── sign.rs │ │ ├── sin_cos_tan.rs │ │ ├── slice.rs │ │ ├── slice_range.rs │ │ ├── sum.rs │ │ ├── sum_axis.rs │ │ ├── to_shape.rs │ │ └── transpose.rs │ ├── mod.rs │ └── operation │ │ ├── broadcasting.rs │ │ ├── math │ │ ├── add.rs │ │ ├── divided.rs │ │ ├── dot.rs │ │ ├── matmul.rs │ │ ├── minus.rs │ │ ├── mod.rs │ │ ├── mul.rs │ │ └── slice_operation │ │ │ ├── add.rs │ │ │ ├── broadcasting.rs │ │ │ ├── div.rs │ │ │ ├── index.rs │ │ │ ├── matmul.rs │ │ │ ├── mod.rs │ │ │ ├── mul.rs │ │ │ └── sub.rs │ │ ├── method │ │ ├── base_operation │ │ │ ├── add.rs │ │ │ ├── div.rs │ │ │ ├── mod.rs │ │ │ ├── mul.rs │ │ │ └── sub.rs │ │ └── mod.rs │ │ └── mod.rs │ ├── data_handler │ ├── datahandler.rs │ ├── dataset.rs │ ├── mod.rs │ └── par_datahandler.rs │ ├── loss │ ├── cross_entropy_loss.rs │ ├── mae.rs │ ├── mod.rs │ ├── mse.rs │ └── sum_square_residual.rs │ ├── mod.rs │ ├── module │ ├── function │ │ ├── batch_norm │ │ │ ├── batch_norm.rs │ │ │ └── mod.rs │ │ ├── dropout │ │ │ ├── dropout.rs │ │ │ └── mod.rs │ │ ├── embedding │ │ │ ├── embedding.rs │ │ │ └── mod.rs │ │ ├── gru │ │ │ ├── gru.rs │ │ │ └── mod.rs │ │ ├── layer_norm │ │ │ ├── layer_norm.rs │ │ │ └── mod.rs │ │ ├── linear │ │ │ ├── linear.rs │ │ │ └── mod.rs │ │ ├── lstm │ │ │ ├── lstm.rs │ │ │ └── mod.rs │ │ ├── mod.rs │ │ └── parameter │ │ │ └── mod.rs │ ├── initialization │ │ ├── glorot.rs │ │ ├── he.rs │ │ ├── mod.rs │ │ └── random.rs │ ├── mod.rs │ ├── module.rs │ └── saving │ │ └── mod.rs │ ├── optimizer │ ├── ada_grad.rs │ ├── adam.rs │ ├── mod.rs │ ├── rmsprop.rs │ ├── sgd.rs │ └── sgd_momen.rs │ ├── rotta_type.rs │ └── tensor │ ├── backward.rs │ ├── backward_label.rs │ ├── function │ ├── abs.rs │ ├── argmax.rs │ ├── argmin.rs │ ├── broadcasting.rs │ ├── concat.rs │ ├── exp.rs │ ├── index.rs │ ├── ln.rs │ ├── mean.rs │ ├── mean_axis.rs │ ├── mod.rs │ ├── permute.rs │ ├── powf.rs │ ├── powi.rs │ ├── sign.rs │ ├── sin_cos_tan.rs │ ├── slice.rs │ ├── sum.rs │ ├── sum_axis.rs │ ├── to_shape.rs │ └── transpose.rs │ ├── method │ ├── mod.rs │ └── operation.rs │ ├── mod.rs │ ├── node.rs │ ├── operation │ ├── add.rs │ ├── div.rs │ ├── dot.rs │ ├── matmul.rs │ ├── mod.rs │ ├── mul.rs │ └── sub.rs │ ├── tensor.rs │ └── tensor_collection │ ├── mod.rs │ ├── tensor_range.rs │ └── vector_to_tensor.rs └── version.md /.gitignore: -------------------------------------------------------------------------------- 1 | /target 2 | /test_saving -------------------------------------------------------------------------------- /Cargo.lock: 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