EfficientFormer VS predictive-spy

Compare EfficientFormer vs predictive-spy and see what are their differences.

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EfficientFormer predictive-spy
2 7
947 121
0.7% -
3.3 4.7
9 months ago 4 months ago
Python Python
GNU General Public License v3.0 or later 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.

EfficientFormer

Posts with mentions or reviews of EfficientFormer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-16.

predictive-spy

Posts with mentions or reviews of predictive-spy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-23.

What are some alternatives?

When comparing EfficientFormer and predictive-spy you can also consider the following projects:

PyTorch-Model-Compare - Compare neural networks by their feature similarity

function-identification - This project demonstrates how a convolutional neural network can be used to detect the boundaries of a function in compiled code

Efficient-AI-Backbones - Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

kgpt - A custom GPT based on [Zero To Hero](https://karpathy.ai/zero-to-hero.html) utilizing tiktoken with the intent to augment AI Transformer-model education and reverse engineer GPT models from scratch.

dytox - Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022

ml-ferret

llama.cpp - LLM inference in C/C++

CoreML-Models - Largest list of models for Core ML (for iOS 11+)

ml-cvnets - CVNets: A library for training computer vision networks

AppleNeuralHash2ONNX - Convert Apple NeuralHash model for CSAM Detection to ONNX.

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.