Implementation of the transformer architecture (Vaswani et. al. 2017) in PyTorch.

Attention Based Multi-modal Emotion Recognition; Stanford Emotional Narratives Dataset

📄 Evidence Retrieval and Claim Verification for the FEVER shared task using Transformer Networks

BioShield is intended to be an AI system that predicts anti-viral molecules and search among already FDA approved drugs the most similar to be used on humans while the novel predicted molecule is tested and approved.

Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.

A question answering bot based on the transformer architecture.

Abstractive Text Summarization using Transformer model

Implementación Transformers, adaptación del curso: "Procesamiento del Lenguaje Natural Moderno en Python. (Juan Gabriel Gomila)

General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like architectures. Compatible with the HuggingFace Transformers models.

Based on Google's paper 'Attention Is All You Need', this sequence to sequence model speeds up RNNs by using 'Attention', enabling parallelization.

implementation of transformer network from scratch

Vaswani Paper analysis for personal Transformer studies

Deep_classiflie_db is the backend data system for managing Deep Classiflie metadata, analyzing Deep Classiflie intermediate datasets and orchestrating Deep Classiflie model training pipelines. Deep_classiflie_db includes data scraping modules for the initial model data sources. Deep Classiflie depends upon deep_classiflie_db for much of its anal…

Includes my deep learning concepts and scripts

Implementation of the Swin Transformer in PyTorch.

Use Trax and Transformer architecture for generative summarizer deep learning model

IEEE TNNLS 2021, transformer, multi-graph transformer, graph, graph classification, sketch recognition, sketch classification, free-hand sketch, official code of the paper "Multi-Graph Transformer for Free-Hand Sketch Recognition"

Implementation of Transformer Encoder Decoder Architecture for Video Predictions

replicating the MT-DNN paper

3D Multi-person Pose Estimation in Multi-view Environment using 3D U-Net Transformer Networks