Interpretability for sequence generation models 🐛 🔍
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Updated
May 28, 2024 - Python
Interpretability for sequence generation models 🐛 🔍
MEEG-44403/54403 Machine Learning for Mechanical Engineers at the University of Arkansas
Welcome to the NLP Learning Repository! This repository is designed for beginners who are eager to dive into the fascinating world of Natural Language Processing (NLP). Here, you'll find a curated collection of resources, tutorials, and projects to help you understand and apply NLP techniques.
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
A sequence-to-sequence voice conversion toolkit.
Input Output Hidden Markov Model (IOHMM) in Python
Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.
AI in-depth material
An AI assistant for a Learning Management System (LMS)
This Project is based on multilingual Translation by using the Transformer with an encoder-decoder architecture along with the multi-head self-attention layers with the positional encoding and embedding for better result and accuracy. Overall, this model converts the English to French language using various Techniques of NLP and DL.
A library for open domain query facet extraction and generation
Solution to im2latex request for research of openai
The First version of the first AI First Aid application release 1.0
DELTA is a deep learning based natural language and speech processing platform.
a dna sequence generation/classification using transformers
A T5-based Seq2Seq Model that Generates Titles for Machine Learning Papers using the Abstract
Continuous learning applied to the development of a Chatbot based on Sequence-To-Sequence architecture
A game of strategy and observation, can you find all the matching numbers and become the ultimate number checker champion?
A few approaches using sequence to sequence (seq2seq) architecture to solve semantice parsing problem
[ICLR'23] DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
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