Fast-Transformer VS handwritten-digits-recognizer-webapp

Compare Fast-Transformer vs handwritten-digits-recognizer-webapp and see what are their differences.


An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow (by Rishit-dagli)


This is my first experience with machine learning (by Theanayne)
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Fast-Transformer handwritten-digits-recognizer-webapp
4 1
146 3
- -
3.2 3.0
almost 2 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 -
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.


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

We haven't tracked posts mentioning Fast-Transformer yet.
Tracking mentions began in Dec 2020.


Posts with mentions or reviews of handwritten-digits-recognizer-webapp. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning handwritten-digits-recognizer-webapp yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Fast-Transformer and handwritten-digits-recognizer-webapp you can also consider the following projects:

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

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

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

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

handwritten-multi-digit-number-recognition - Recognize handwritten multi-digit numbers using a CRNN model trained with synthetic data.

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

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

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

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

t81_558_deep_learning - T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

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

vision_models_playground - Playground for testing and implementing various Vision Models