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pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

re-tacred

A significantly higher label quality version of the popular TACRED dataset

repair

reside

EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

shapeworld

singan

Implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

sn-net

[CVPR 2023 Highlight] This is the official implementation of "Stitchable Neural Networks".

spanbert

Code for using and evaluating SpanBERT.

spodernet

NLP

super-resolution

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

swin-transformer-object-detection

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

swin-transformer-semantic-segmentation

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

tacred-exploration

PyTorch implementation of the position-aware attention model for relation extraction

tacrev

[ACL 20] TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task

tangent_task_arithmetic

Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".

tensorflow

An Open Source Machine Learning Framework for Everyone

tplinker-joint-extraction

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

tre

[AKBC 19] Improving Relation Extraction by Pre-trained Language Representations

treelstm.pytorch

Tree LSTM implementation in PyTorch

tutorial

up-down-captioner

Automatic image captioning model based on Caffe, using features from bottom-up attention.

vit-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

world

first repository

yet-another-efficientdet-pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

zipit

A framework for merging models solving different tasks with different initializations into one multi-task model without any additional training