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sarvesht07/
RNN-LSTM

Name: RNN-LSTM
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LSTM Cipher Decryption Model

Character-level LSTM implemented from scratch in PyTorch, trained to decrypt a substitution cipher. Part of the Bisleri Collective cryptographic analysis pipeline – Task 1.

Load the model

python

import torch
from src.task1.models.lstm import LSTMDecryptionModel
from src.task1.preprocessing.dataset import Vocabulary

cipher_vocab = Vocabulary.load("cipher_vocab.json")
plain_vocab  = Vocabulary.load("plain_vocab.json")

model = LSTMDecryptionModel(
    cipher_vocab_size=cipher_vocab.size,
    plain_vocab_size=plain_vocab.size,
)
ckpt = torch.load("model.pt", map_location="cpu")
model.load_state_dict(ckpt["model_state"])
model.eval()

sarvesht07/RNN-LSTM

LSTM Cipher Decryption Model

Load the model

sarvesht07/
RNN-LSTM