pouyaardehkhani/ActTensor
ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani
This project helps deep learning practitioners easily integrate a wide array of activation functions into their TensorFlow models. It provides ready-to-use implementations of both common and cutting-edge activation functions. The input is a TensorFlow model, and the output is the same model enhanced with additional activation function options, typically used by machine learning engineers or researchers.
No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher building deep learning models with TensorFlow and need a broader selection of activation functions than those natively provided, without writing them from scratch.
Not ideal if you are not working with TensorFlow or if the standard activation functions already meet your model's needs.
Stars
27
Forks
4
Language
Python
License
MIT
Category
Last pushed
Jun 11, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/pouyaardehkhani/ActTensor"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
digantamisra98/Mish
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Sentdex/nnfs_book
Sample code from the Neural Networks from Scratch book.
itdxer/neupy
NeuPy is a Tensorflow based python library for prototyping and building neural networks
vzhou842/cnn-from-scratch
A Convolutional Neural Network implemented from scratch (using only numpy) in Python.
nicklashansen/rnn_lstm_from_scratch
How to build RNNs and LSTMs from scratch with NumPy.