[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang
-
Updated
May 13, 2022 - Python
#
transformer-models
Here are 75 public repositories matching this topic...
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
computer-vision
deep-learning
transformers
transformer
awesome-list
vit
papers
attention-mechanism
attention-mechanisms
self-attention
transformer-architecture
transformer-models
detr
vision-transformer
transformer-cv
transformer-with-cv
transformer-awesome
visual-transformer
-
Updated
Jul 12, 2022
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
deep-learning
pytorch
dino
moco
self-supervised-learning
byol
nvidia-dali
transformer-models
pytorch-lightning
simclr
contrastive-learning
deepcluster
simsiam
swav
barlow-twins
vicreg
nnclr
wmse
ressl
vibcreg
-
Updated
Jul 12, 2022 - Python
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
text-classification
transformer
graph-machine-learning
graph-embeddings
graph-classification
self-attention
graph-neural-networks
graph-representation-learning
transformer-models
node-embeddings
graph-deep-learning
graph-transformer
-
Updated
Mar 10, 2022 - Python
good first issue
Good for newcomers
Fast inference engine for Transformer models
deep-neural-networks
deep-learning
cpp
neon
machine-translation
openmp
parallel-computing
cuda
inference
avx
intrinsics
avx2
neural-machine-translation
opennmt
quantization
gemm
mkl
thrust
transformer-models
onednn
-
Updated
Jul 12, 2022 - C++
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
-
Updated
May 9, 2020 - Jupyter Notebook
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
machine-learning
text-summarization
summarization
albert
extractive-summarization
automatic-summarization
bert
roberta
transformer-models
pytorch-lightning
distilbert
summarization-dataset
-
Updated
Mar 26, 2022 - Python
MinT: Minimal Transformer Library and Tutorials
transformers
tutorials
pytorch
transformer
bart
gpt
bert
roberta
gpt2
t5
transformer-models
sentence-transformers
-
Updated
Jun 6, 2022 - Python
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
unsupervised-learning
anomaly-detection
adversarial-learning
multi-head-attention
transformer-models
-
Updated
Jul 10, 2022 - Python
Punctuation Restoration using Transformer Models for High-and Low-Resource Languages
-
Updated
Jan 31, 2022 - Python
The official code repo for "Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data", in AAAI 2022
python
music-information-retrieval
zero-shot-learning
audio-source-separation
transformer-models
query-based-learning
-
Updated
Apr 27, 2022 - Python
nlp
text-classification
tagging
transformers
text-generation
tagger
text-processing
multi-label-classification
multi-task
transformer-models
-
Updated
May 1, 2022 - Python
SignNet and BasisNet
machine-learning
deep-learning
graph
graph-machine-learning
graph-convolutional-networks
graph-neural-networks
transformer-models
graph-transformer
-
Updated
May 22, 2022 - Python
python
nlp
machine-learning
deep-learning
pytorch
russian
ner
bert
punctuation-marks
transformer-models
punctuation-restoration
-
Updated
Jul 9, 2021 - Python
Awesome datasets for Bangla language computing.
text-classification
benchmarks
bangla
bangla-dataset
bangla-nlp
transformer-models
bangla-language-processing
bangla-language-computing
-
Updated
Mar 7, 2022 - Python
Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.
-
Updated
Jun 15, 2022 - Python
Dịch máy giữa ngôn ngữ anh-viet
-
Updated
Jun 21, 2020 - Jupyter Notebook
The official code repo of "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection"
-
Updated
Feb 3, 2022 - Python
This is the official implementation of our proposed SwinMR
-
Updated
Jul 5, 2022 - Python
An optimized Transformer based abstractive summarization model with Tensorflow
tensorflow
transformer
summarization
abstractive-text-summarization
abstractive-summarization
transformer-models
-
Updated
Sep 20, 2020 - Python
unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
python
deep-learning
neural-network
pytorch
artificial-intelligence
transformer
grokking
transformer-models
-
Updated
Jul 4, 2022 - Python
How to use our public wav2vec2 dimensional emotion model
deep-learning
valence
arousal
onnx
speech-emotion-recognition
dominance
transformer-models
wav2vec2
msp-podcast
-
Updated
Apr 19, 2022 - Jupyter Notebook
Code for "Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts", IJCAI 2022
time-series
time-series-forecasting
probabilistic-forecasting
transformer-architecture
transformer-models
long-range-forecasting
-
Updated
May 27, 2022 - Python
Official release of MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer axriv: http://arxiv.org/abs/2112.13513
-
Updated
Jun 27, 2022 - Jupyter Notebook
Using a Transformer for learning the Language Model and Generate Short Jokes
-
Updated
Jun 7, 2020 - Jupyter Notebook
Integration of Swin Transformer to DETR for Robust Object Detection (DEMO)
-
Updated
Jul 5, 2021 - Jupyter Notebook
Bangla Sentiment Classification
-
Updated
Oct 17, 2021
Stock price prediction using a Temporal Fusion Transformer
python
machine-learning
deep-learning
stock-market
tft
stock-prediction
time-series-analysis
transformer-models
temporal-fusion-transformer
-
Updated
Apr 9, 2022 - TeX
Crisis Dataset for Benchmarks Experiments
social-media
bert
disaster-response
roberta
crisis-informatics
transformer-models
bert-fine-tuning
crisis-computing
tweet-text-classification
-
Updated
Jun 22, 2022 - Python
Improve this page
Add a description, image, and links to the transformer-models topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the transformer-models topic, visit your repo's landing page and select "manage topics."
`import numpy as np
import aspect_based_sentiment_analysis as absa
from aspect_based_sentiment_analysis import alignment
from aspect_based_sentiment_analysis import Example
text = "I love mascara"
aspects = ['mascara']
recognizer = absa.aux_models.BasicPatternRecognizer()
nlp = absa.load(pattern_recognizer=recognizer)
task = nlp(text=text, aspects=aspects)
slack = task.examples
pri