vision_models_playground VS Transformer-in-Transformer

Compare vision_models_playground vs Transformer-in-Transformer and see what are their differences.

vision_models_playground

Playground for testing and implementing various Vision Models (by Akrielz)
Artificial intelligence attention-mechanism Computer Vision Deep Learning Pytorch Transformer
Source Code
pypi.org
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Transformer-in-Transformer

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches (by Rishit-dagli)
Machine Learning attention-mechanism Transformer tnt image-classification sota Tensorflow neural-networks Deep Learning Artificial intelligence
Source Code
pypi.org
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vision_models_playground Transformer-in-Transformer
1 4
12 41
- -
8.3 0.0
6 months ago over 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
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vision_models_playground

Posts with mentions or reviews of vision_models_playground. We have used some of these posts to build our list of alternatives and similar projects.

Transformer-in-Transformer

Posts with mentions or reviews of Transformer-in-Transformer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-06.

What are some alternatives?

When comparing vision_models_playground and Transformer-in-Transformer you can also consider the following projects:

swarms - Orchestrate Swarms of Agents From Any Framework Like OpenAI, Langchain, and Etc for Real World Workflow Automation. Join our Community: https://discord.gg/DbjBMJTSWD

poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

Fast-Transformer - An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow

LongNet - Implementation of plug in and play Attention from "LongNet: Scaling Transformers to 1,000,000,000 Tokens"

pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

AvatarGAN - Generate Cartoon Images using Generative Adversarial Network

DeepLearning - Contains all my works, references for deep learning

CenterSnap - Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"

principia - The Principia Rewrite

planckforth - Bootstrapping a Forth interpreter from hand-written tiny ELF binary. Just for fun.

vision_models_playground vs swarms Transformer-in-Transformer vs poolformer vision_models_playground vs Fast-Transformer Transformer-in-Transformer vs LongNet vision_models_playground vs pytorch-GAT Transformer-in-Transformer vs AvatarGAN vision_models_playground vs DeepLearning Transformer-in-Transformer vs swarms vision_models_playground vs CenterSnap Transformer-in-Transformer vs principia Transformer-in-Transformer vs planckforth Transformer-in-Transformer vs Fast-Transformer