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92 public repositories
matching this topic...
Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Updated
Jul 24, 2021
Jupyter Notebook
Rethinking Image Inpainting via a Mutual Encoder Decoder with Feature Equalizations. ECCV 2020 Oral
Updated
Apr 3, 2021
Python
PyTorch implementation of Sinusodial Representation networks (SIREN)
Updated
Jun 2, 2021
Python
Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
Updated
Jul 5, 2021
Python
All the code files related to the deep learning course from PadhAI
Updated
Apr 13, 2020
Jupyter Notebook
AReLU: Attention-based-Rectified-Linear-Unit
Updated
Jan 24, 2021
Jupyter Notebook
Unofficial implementation of 'Implicit Neural Representations with Periodic Activation Functions'
Updated
Jun 25, 2020
Jupyter Notebook
Implementing activation functions from scratch in Tensorflow.
Updated
Jan 23, 2021
Jupyter Notebook
Intro to Deep Learning by National Research University Higher School of Economics
Updated
Nov 30, 2020
Jupyter Notebook
Image to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0
Updated
Jan 24, 2020
Jupyter Notebook
Reservoir computing library for .NET. Enables ESN , LSM and hybrid RNNs using analog and spiking neurons working together.
Updated
Aug 16, 2020
Python
The "Activation Function Demo" is a demo for implementing activation function with the mathod propsed in paper: Design Space Exploration of Neural Network Activation Function Circuits
Updated
Oct 29, 2018
Python
Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.
Updated
Jun 10, 2019
Jupyter Notebook
Online binary classification content control to filter and flag for inappropriate NSFW content
Updated
Apr 20, 2021
JavaScript
Korean OCR Model Design(한글 OCR 모델 설계)
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Aug 12, 2020
Python
Updated
Sep 17, 2018
Jupyter Notebook
Multilayer neural network framework implementation, used for classification and regression task. Can use multiple activation functions with backpropagation based on autograd library. Contains polynomial activation function for regression task.
Updated
Nov 5, 2019
Python
**DeepLearning** Intro.. Need to wrap up more projects here...
Updated
Nov 7, 2019
Jupyter Notebook
3D visualization of common activation functions
Updated
Oct 1, 2020
Python
Avoiding the vanishing gradients problem by adding random noise and batch normalization
Updated
May 23, 2021
Python
BSc Thesis at FER-2019/20 led by doc. dr. sc. Marko Čupić
Awesome papers on Neural Networks and Deep Learning
This is a Keras implementation of the paper "LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks" -
https://arxiv.org/abs/1901.05894
⚡ Activation functions for neural networks
Email Systems Account Propagation & Services REST API + Open PGP
Robustness of Deep Neural Networks using Trainable Activation Functions
Updated
May 21, 2021
Jupyter Notebook
Simple Tutorial to Explain the Pros and Cons of Sigmoid Activation Function
Updated
May 29, 2021
Jupyter Notebook
A small walk-through to show why ReLU is non linear!
Updated
May 28, 2021
Jupyter Notebook
Corruption Robust Image Classification with a new Activation Function. Our proposed Activation Function is inspired by the Human Visual System and a classic signal processing fix for data corruption.
Updated
Jun 23, 2021
MATLAB
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