Fast-Transformer VS machine-learning-experiments

Compare Fast-Transformer vs machine-learning-experiments 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 machine-learning-experiments
4 8
150 1,662
- -
0.0 2.5
almost 3 years ago 23 days 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.
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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.

machine-learning-experiments

Posts with mentions or reviews of machine-learning-experiments. 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 machine-learning-experiments you can also consider the following projects:

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

Torrent-To-Google-Drive-Downloader-v3 - Simple notebook to stream torrent files to Google Drive using Google Colab and python3.

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

osumapper - An automatic beatmap generator using Tensorflow / Deep Learning.

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

PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

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

lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

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

lucid - A collection of infrastructure and tools for research in neural network interpretability.

language-planner - Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"

Hands-On-Meta-Learning-With-Python - Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

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