Fast-Transformer VS vision_models_playground

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

Fast-Transformer

An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow (by Rishit-dagli)
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Fast-Transformer vision_models_playground
4 1
146 12
- -
0.0 8.3
about 2 years ago 6 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Fast-Transformer

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

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.

What are some alternatives?

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

reformer-pytorch - Reformer, the efficient Transformer, in Pytorch

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

Perceiver - Implementation of Perceiver, General Perception with Iterative Attention in TensorFlow

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!

Conformer - An implementation of Conformer: Convolution-augmented Transformer for Speech Recognition, a Transformer Variant in TensorFlow/Keras

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

machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

DeepLearning - Contains all my works, references for deep learning

TimeSformer-pytorch - Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

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

embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.