Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
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Updated
May 24, 2024 - Jupyter Notebook
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
All the code files related to the deep learning course from PadhAI
Rethinking Image Inpainting via a Mutual Encoder Decoder with Feature Equalizations. ECCV 2020 Oral
Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
深度学习系统笔记,包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解,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
Korean OCR Model Design(한글 OCR 모델 설계)
PyTorch implementation of Sinusodial Representation networks (SIREN)
AReLU: Attention-based-Rectified-Linear-Unit
**DeepLearning** Intro.. Need to wrap up more projects here...
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”
Unofficial implementation of 'Implicit Neural Representations with Periodic Activation Functions'
A small walk-through to show why ReLU is non linear!
Simple Tutorial to Explain the Pros and Cons of Sigmoid Activation Function
ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani
An easy-to-use library for GLU (Gated Linear Units) and GLU variants in TensorFlow.
Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.
Implementing activation functions from scratch in Tensorflow.
QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch
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