471 Open source projects that are alternatives of or similar to max-deeplab

"SOLQ: Segmenting Objects by Learning Queries", SOLQ is an end-to-end instance segmentation framework with Transformer.

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NLP: Relation extraction with position-aware self-attention transformer

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[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

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Pytorch implementation of Polygon-RNN(http://www.cs.toronto.edu/polyrnn/poly_cvpr17/)

Transfromer tensorflow2.0版本实现

Real time instance segmentation with Mask R-CNN, live from webcam feed.

Text style transfer benchmark

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

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Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

RSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words (CVPR 2021)

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Neutron: A pytorch based implementation of Transformer and its variants.

Inference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

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[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

How to create custom COCO data set for instance segmentation

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

A PyTorch Implementation of "Attention Is All You Need"

pix2tex: Using a ViT to convert images of equations into LaTeX code.

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HAL+JSON & HAL+XML API transformer outputting valid (PSR-7) API Responses.

a collection of visualization function

Contextualised Embeddings and Language Modelling using BERT and Friends using R

Laravel 5 HAL+JSON API Transformer Package

PyTorch v1.2에서 생긴 Transformer API 를 이용한 간단한 Chitchat 챗봇

Grapheme to phoneme conversion with deep learning.

Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.

Representing Long-Range Context for Graph Neural Networks with Global Attention

End-to-end Temporal Action Detection with Transformer. [Under review for a journal publication]

Transformer implementation speciaized in speech recognition tasks using Pytorch.

Trained T5 and T5-large model for creating keywords from text

Laravel Transformer

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

Transformer Chatbot in TensorFlow 2 with TPU support.

Streaming, transforming, SPARQL-based CSV to RDF converter. Apache license.

Handwritten text recognition using transformers.

Embedding模型代码和学习笔记总结

A collection of SOTA Image Classification Models in PyTorch

Deep Learning Transformer models in MATLAB

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Tutel MoE: An Optimized Mixture-of-Experts Implementation

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MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

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This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

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[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

Using LSTM or Transformer to solve Image Captioning in Pytorch