sourcecode369 / unconventional-neural-networksLinks
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 3 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
Sorting:
- Keras implementation of NovoGrad☆20Updated 5 years ago
- Keras implementation of Global Context Attention blocks☆46Updated 6 years ago
- Easing non-convex optimization with neural networks.☆23Updated 7 years ago
- Reproduce GTSRB results of classic deep learning papers.☆22Updated 5 years ago
- Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"☆17Updated 7 years ago
- Deep Learning using Rectified Linear Units (ReLU)☆22Updated last year
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆20Updated 4 years ago
- Residual attention generative adversarial networks for image-to-image translation☆13Updated 7 years ago
- TPU enabled Tensorflow implementation of "Large Scale GAN Training for High Fidelity Natural Image Synthesis" (BigGAN)☆34Updated 4 years ago
- A pytorch helper library for Mixed Precision Training, Initialization, Metrics and More Utilities to simplify training of deep learning m…☆15Updated 6 years ago
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…☆50Updated 5 years ago
- Yet another (very simple) approach for adversarial training.☆17Updated 8 years ago
- Pytorch implementation of Pixel Constrained CNN, a framework for probabilistic semantic inpainting☆33Updated 2 years ago
- Tensorflow implemention of various GAN.☆11Updated 5 years ago
- ☆50Updated 6 years ago
- Experiments with beta-VAE to learn disentangled representations from the data☆65Updated 6 years ago
- Code for "Free-Lunch Saliency via Attention in Atari Agents"☆16Updated 5 years ago
- Pytorch implementation of the DeepDream computer vision algorithm☆103Updated 6 years ago
- Wrapper for Normalized Gradient Descent in Keras☆17Updated 7 years ago
- A keras (tensorflow) reimplementation of MUNIT: Multimodal Unsupervised Image-to-Image Translation https://arxiv.org/abs/1804.04732☆66Updated 6 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 4 years ago
- 1st place solution for Clog Loss: Advance Alzheimer’s Research with Stall Catchers☆23Updated 3 years ago
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆17Updated last year
- diffGrad: An Optimization Method for Convolutional Neural Networks☆55Updated 3 years ago
- Official PyTorch code for U-Noise: Learnable Noise Masks for Interpretable Image Segmentation (ICIP 2021)☆42Updated 4 years ago
- Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)☆56Updated 7 years ago
- Pytorch implementation of Conditional image-to-image translation (CVPR 2018)☆48Updated 6 years ago
- Daily Dose of Neural Network that Everyone Needs☆19Updated 6 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 6 years ago