sourcecode369 / unconventional-neural-networks
Implementation notebooks and scripts of Artistic CNN Models and Generative Models like GANs, VAEs, GMMs, Boltzmann Machine etc. in TensorFlow, and Python. This repo aims to understand and make amazing things out of Neural Network layers.
☆11Updated 2 years ago
Alternatives and similar repositories for unconventional-neural-networks:
Users that are interested in unconventional-neural-networks are comparing it to the libraries listed below
- Reproduce GTSRB results of classic deep learning papers.☆21Updated 4 years ago
- Daily Dose of Neural Network that Everyone Needs☆19Updated 5 years ago
- Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792☆22Updated 7 years ago
- Keras implementation of NovoGrad☆20Updated 4 years ago
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Updated 4 years ago
- Easing non-convex optimization with neural networks.☆22Updated 6 years ago
- ☆8Updated 5 years ago
- Chainer implementation of the paper Robust Conditional Generative Adversarial Networks☆15Updated 4 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- Code accompanying the paper Sobolev GAN https://arxiv.org/abs/1711.04894☆12Updated 6 years ago
- ☆11Updated 10 years ago
- Residual Network of Residual Networks in Keras☆23Updated 7 years ago
- Code release for "GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions", ICCV 2019☆13Updated 2 years ago
- DTLC-GAN Tensorflow☆12Updated 6 years ago
- Tensorflow 2.0 implementation of STAR RNN☆10Updated 4 years ago
- A difficulty-aware embedding of complementary deep networks for image classification☆12Updated 6 months ago
- This repository contains my notes for the research papers that I read for anyone to briefly glance over the details.☆13Updated 6 years ago
- Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"☆17Updated 6 years ago
- Data and code for the paper "Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres" publis…☆18Updated 6 years ago
- TPU enabled Tensorflow implementation of "Large Scale GAN Training for High Fidelity Natural Image Synthesis" (BigGAN)☆34Updated 4 years ago
- Illustration of how to create TFRecord with images and pipelined into Datasets and Iterators☆15Updated 6 years ago
- Pytorch implementation of "Estimating the Success of Unsupervised Image to Image Translation" ECCV 2018☆18Updated 5 years ago
- A tensorflow implementation of Fully Convolutional Networks For Semantic Segmentation☆13Updated 8 years ago
- Meta-SGD Algorithms Implementation☆22Updated 7 months ago
- A simple program on how you can use tensor-board for visualization and how you can freeze your model graph and later use if for testing☆15Updated 6 years ago
- Mean-shift clustering in Python in 100 lines☆13Updated 6 years ago
- Chainer implementation of Deepmind's Visual Attention Model paper☆27Updated 6 years ago
- Simple Tensorflow implementation of "SRM : A Style-based Recalibration Module for Convolutional Neural Networks"☆18Updated 5 years ago
- Deep neural architecture research framework☆12Updated last year
- Auxiliary variable Markov chain Monte Carlo methods☆10Updated 7 years ago