Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
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Updated
Mar 17, 2023 - Jupyter Notebook
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
Rethinking Image Inpainting via a Mutual Encoder Decoder with Feature Equalizations. ECCV 2020 Oral
PyTorch implementation of Sinusodial Representation networks (SIREN)
All the code files related to the deep learning course from PadhAI
AReLU: Attention-based-Rectified-Linear-Unit
Unofficial implementation of 'Implicit Neural Representations with Periodic Activation Functions'
Korean OCR Model Design(한글 OCR 모델 설계)
深度学习炼丹笔记,包含深度学习数学基础知识、神经网络基础部件详解、构建 CNN 网络总结,深度学习炼丹策略,以及如何实现深度学习推理框架实战。
Intro to Deep Learning by National Research University Higher School of Economics
Implementing activation functions from scratch in Tensorflow.
Image to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0
Reservoir computing library for .NET. Enables ESN , LSM and hybrid RNNs using analog and spiking neurons working together.
[TCAD 2018] Code for “Design Space Exploration of Neural Network Activation Function Circuits”
PyTorch reimplementation of the Smooth ReLU activation function proposed in the paper "Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations" [arXiv 2022].
Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
A PyTorch implementation of funnel activation https://arxiv.org/pdf/2007.11824.pdf
Binary classification to filter and block unsolicited NSFW content from annoying coworkers
Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.
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