Home / Python / Deep Learning

Chainer implementation of Self-Normalizing Networks (SNN)

Self-Normalizing Neural Networks Chainer implementation of Self-Normalizing Neural Networks. Requirements Chainer 2.0+ Python 2 or 3 Seaborn Activation Distribution ReLU ReL
Information
Category: Python / Deep Learning
Watchers: 2
Star: 25
Fork: 4
Last update: May 16, 2022
Resource links
https://github.com/musyoku/self-normalizing-networks

Self-Normalizing Neural Networks

Chainer implementation of Self-Normalizing Neural Networks.

Requirements

  • Chainer 2.0+
  • Python 2 or 3
  • Seaborn

Activation Distribution

ReLU

ReLU

ReLU + Batch Normalization

ReLU + Batch Normalization

ELU

ELU

SELU

SELU

Contents

    intel Intel® Optimization for Chainer*, a Chainer module providing numpy like API and DNN acceleration using MKL-DNN.
    chainer Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
    pfnet line drawing colorization using chainer
    pfnet-research Experimental toolchain to compile and run Chainer models
    ugo-nama-kun This software is a python implementation of Deep Q-Networks for playing ATARI games with Chainer package.
    pfnet-research Chainer implementation of recent GAN variants
    AdeelMufti Full World Models Implementation in Chainer
    dsanno Implementation of Deep Feature Interpolation
    pfnet-research chainer implementation of pix2pix
    wyf0912 The code release of paper "AAAI Low-Light Image Enhancement with Normalizing Flow", AAAI 2022
    chainer ChainerMN: Scalable distributed deep learning with Chainer
    fangwei123456 SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
    etri The repository contains some examples of pre-trained SNN (Spiking Neural Network) models.
    pfnet-research Chainer implementation of Style-based Generator
    chainer A flexible framework of neural networks for deep learning
    hardmaru Using Rainbow implementation in Chainer RL for Slime Volleyball Pixel Environment
    himkt 🌈Implementation of Neural Network based Named Entity Recognizer (Lample+, 2016) using Chainer
    joeybose ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
    RameenAbdal StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows
    andreas128 SRFlow - Learning the Super-Resolution Space with Normalizing Flow
    visinf Latent Normalizing Flows for Many-to-Many Cross Domain Mappings (ICLR 2020)
    Share this repo

    Related Repos


    Deep Learning
    837
    An implementation of chunked, compressed, N-dimensional arrays for Python.
    zarr-developers Zarr Latest Release Package Status License Build Status Coverage Downloads Gitter Citation What is it? Zarr is a Python package providing an implement
     
    Deep Learning
    317
    Serverless proxy for Spark cluster
    Hydrospheredata Hydrosphere Mist Hydrosphere Mist is a serverless proxy for Spark cluster. Mist provides a new functional programming framework and deployment model f
     
    Deep Learning
    2.5k
    Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
    intel-analytics Distributed TensorFlow, PyTorch, Keras and BigDL on Apache Spark & Ray Analytics Zoo is an open source Big Data AI platform, and includes the followin
     
    Deep Learning
    10
    Black-Scholes StarkNet Library
    araghava Cairo Black-Scholes Library Black-Scholes library implemented as a Cairo smart contract. All inputs, outputs, and internal calculations use 27-digit f
     
    Deep Learning
    5
    Motoko library to help create an append-only logger actor
    ninegua IC Logger This motoko library provides a module to help create an append-only logger actor. Usage You can use this library with the vessel package man
     
    Deep Learning
    4
    LeetCode_Solution
    ashishpatel26 LeetCode_Solution LeetCode: https://leetcode.com/problemset/all/ # Title Difficulty Colab Code 1 Two Sum Easy 2 Add Two Numbers Medium 3 Longest Subst
     
    Deep Learning
    4
    OCR-D wrapper for detectron2 based segmentation models
    bertsky ocrd_detectron2 OCR-D wrapper for detectron2 based segmentation models Introduction Installation Usage OCR-D processor interface ocrd-detectron2-segm
     
    Deep Learning
    134
    Check for LDAP protections regarding the relay of NTLM authentication
    zyn3rgy LDAP Relay Scan A tool to check Domain Controllers for LDAP server protections regarding the relay of NTLM authentication. If you're interested in the
     
    Deep Learning
    66
    Fuzzware's main repository. Start here to install.
    fuzzware-fuzzer Fuzzware Fuzzware is a project for automated, self-configuring fuzzing of firmware images. The idea of this project is to configure the memory ranges
     
    Deep Learning
    35
    Time Weighted Asset Mints
    abigger87 TWAM • Time Weighted Asset Mints A minting harness enabling time-weighted assets to determine minting prices. How it works Requirements: maxMintingAmo
     
    Deep Learning
    33
    A complete, self-contained example for training ImageNet at state-of-the-art speed with FF...
    libffcv ffcv ImageNet Training A minimal, single-file PyTorch ImageNet training script designed for hackability. Run train_imagenet.py to get... ...high accur
     
    Deep Learning
    33
    เอกสารประกอบการสอนทุกเนื้อหาในช่องยูทูป KongRuksiam Official
    kongruksiamza 📖 เอกสารประกอบการสอน (PDF) 🔏 Blockchain & Smart Contract Blockchain เบื้องต้น Smart Contract & Solidity เบื้องต้น 💻 Programming เขียนโปรแกรมภาษา Ja
     
    Deep Learning
    34
    Omnivore A Single Model for Many Visual Modalities
    facebookresearch Omnivore: A Single Model for Many Visual Modalities [paper][website] OMNIVORE is a single vision model for many different visual modalities. It learns
     
    Deep Learning
    30
    Python implementation of the Lox language from Robert Nystrom's Crafting Interpreters
    dabeaz pylox Python implementation of the Lox language from Robert Nystrom's Crafting Interpreters. https://craftinginterpreters.com. This only implements th
     
    Deep Learning
    29
    ParaGen is a PyTorch deep learning framework for parallel sequence generation.
    bytedance ParaGen ParaGen is a PyTorch deep learning framework for parallel sequence generation. Apart from sequence generation, ParaGen also enhances various N