A Deep-Learning-Based Persian Speech Recognition System
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Updated
May 22, 2023 - Jupyter Notebook
A Deep-Learning-Based Persian Speech Recognition System
FreeCite: A Judge-Free Benchmark for Granular Citation Evaluation in Large Language Models
Transformers applied on Time Series Forecasting
Implementation of GRU-based Encoder-Decoder Architecture with Bahdanau Attention Mechanism for Machine Translation from German to English.
Convolutional Language Model for Image Captioning
Attention in Seq2Seq with Teacher Forcing and Beam Search Decoding
keras Neural Machine Translation using seq2seq with teacher forcing.
Teacher-forced confidence analysis for language models. pip install confidence-cartography
LSTM encoder-decoder model that translates infix mathematical expressions to postfix notation, achieving 100% accuracy with true autoregressive decoding. Built with TensorFlow/Keras.
Teacher-forced confidence as a false-belief sensor for language models.
This notebooks, we train a seq2seq decoder model with teacher forcing. Then use the trained layers from the decoder to generate a Sonnet.
Generate emotionally coherent song lyrics from melodies using deep learning. Combines LSTM-based language modeling with static and time-aligned MIDI features.
A keras implementation of word level encoder-decoder architecture with teacher forcing.
Interact with a trained chatbot that uses sequence to sequence model with luong attention mechanism over jointly trained encoder-decoder modules and implementation of greedy search decoding module.
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