339 Open source projects that are alternatives of or similar to nuwa-pytorch

Reformer, the efficient Transformer, in Pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022

Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch

No description or website provided.

Persian Bert For Long-Range Sequences

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

a collection of visualization function

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Chef Transformer 🍲 .

Sentiment Analysis: Deep Bi-LSTM+attention model

Various implementations and projects on CNN, RNN, LSTM, GAN, etc

Drug effect prediction using neural network

Multigrid Neural Architecture

Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"

Transformers Pipeline with KoELECTRA

Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

An original implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Pytorch

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

Conversational text Analysis using various NLP techniques

🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools

Active Learning for Text Classification in Python

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Arbitrary Style Transfer with Style-Attentional Networks

EVE bot, a customer service chatbot to enhance virtual engagement for Twitter Apple Support

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

Spark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.

This is the official implementation of TransCenter. The code and pretrained models are now available here: https://gitlab.inria.fr/yixu/TransCenter_official.

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

NMA deep learning course

A package for fine-tuning Transformers with TPUs, written in Tensorflow2.0+

An NLP-suite powered by deep learning

A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

codes for paper "Domain Attention Model for Multi-Domain Sentiment Classification"

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules

Contextualised Embeddings and Language Modelling using BERT and Friends using R

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

Is a geometric model required to synthesize novel views from a single image?

No description or website provided.

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

🎬 Video Captioning: ICCV '15 paper implementation

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

Pytorch Implementation of GoEmotions 😍😢😱

Attention Gated VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge

Playground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.

Using pre-trained BERT models for Chinese and English NER with 🤗Transformers

A minimal nmt example to serve as an seq2seq+attention reference.

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Implementation of Nyström Self-attention, from the paper Nyströmformer

Multimodal Image Synthesis and Editing: A Survey