teacher-forcing

Official Pytorch Code of the Paper "FashionChameleon: Towards Real-Time and Interactive Human-Garment Video Customization"

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.

LSTM encoder-decoder model that translates infix mathematical expressions to postfix notation, achieving 100% accuracy with true autoregressive decoding. Built with TensorFlow/Keras.

English-to-Hindi Neural Machine Translation using a Seq2Seq GRU Encoder-Decoder with Additive Attention. Built from scratch with TensorFlow, teacher forcing, XAI (Integrated Gradients), and BLEU/ROUGE evaluation to improve translation quality.

A keras implementation of word level encoder-decoder architecture with teacher forcing.

Generate emotionally coherent song lyrics from melodies using deep learning. Combines LSTM-based language modeling with static and time-aligned MIDI features.

This notebooks, we train a seq2seq decoder model with teacher forcing. Then use the trained layers from the decoder to generate a Sonnet.

A deep learning image captioning system built on MS-COCO using VGG16 encoders and RNN decoders. Implements Teacher Forcing and comparative Global Attention mechanisms (Bahdanau, Luong, Scaled Dot-Product) with spatial attention heatmaps.

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.