Mixup: Beyond Empirical Risk Minimization in PyTorch
This is an unofficial PyTorch implementation of mixup: Beyond Empirical Risk Minimization. The code is adapted from PyTorch CIFAR.
I only tested using
Pytorch (https://github.com/pytorch/pytorch) implementation of the deep dream (https://en.wikipedia.org/wiki/DeepDream) computer vision algorithm
Install Jupyter notebook with Anacon
LIS-YNP (Life Is Short-You Need Pytorch)
Based on Official Pytorch Tutorial and yunjey's pytorch-tutorial, this repository provides tutorial code for deep learning researchers to learn PyTorch .
There is also a PyTorch tutor
fpn.pytorch Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection
This project inherits the property of our pytorch implementation of faster r-cnn. Hence, it also has the following unique feat
Siamese-RPN (PyTorch Implementation)
This is my implementation for Siamese Region Proposal Network with PyTorch.
Python version: 3.6 (3.5 or 3.4 may be also okay even though I did not try)
PyTorch version: 0.4.0 or higher
PyTorch-LBFGS: A PyTorch Implementation of L-BFGS
Authors: Hao-Jun Michael Shi (Northwestern University) and Dheevatsa Mudigere (Facebook)
What is it?
PyTorch-LBFGS is a modular implementation of L-BFGS, a popular qua
High quality, fast, modular reference implementation of SSD in PyTorch 1.0
This repository implements SSD (Single Shot MultiBox Detector). The implementation is heavily influenced by the projects ssd.pytorch, pytorch-ssd and mask
A PyTorch implementation of MixNet
A PyTorch implementation of MixNet architecture: MixNet: Mixed Depthwise Convolutional Kernels. Based on MobileNetV2, found by Neural Architecture Search, rep
Pytorch implementation of FlowNet by Dosovitskiy et al.
This repository is a torch implementation of FlowNet, by Alexey Dosovitskiy et al. in PyTorch. See Torch implementation here
This code is mainly inspired fr
PyTorch implementation of TRPO
Try my implementation of PPO (aka newer better variant of TRPO), unless you need to you TRPO for some specific reasons.
This is a PyTorch implementation of "Trust Region Policy Optimization (TRPO
PyTorch implementation of HMAX
PyTorch implementation of the HMAX model that closely follows that of the MATLAB implementation of The Laboratory for Computational Cognitive Neuroscience:
PyTorch CapsNet: Capsule Network for PyTorch
A CUDA-enabled PyTorch implementation of CapsNet (Capsule Network) based on this paper: Sara Sabour, Nicholas Frosst, Geoffrey E Hinton. Dynamic Routing Between Capsules. NIPS 2017