aleju / LossAccPlotter
Plot loss and accuracy of neural networks over time
☆63Updated 8 years ago
Alternatives and similar repositories for LossAccPlotter:
Users that are interested in LossAccPlotter are comparing it to the libraries listed below
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- A new kind of pooling layer for faster and sharper convergence☆76Updated 7 years ago
- ☆79Updated 7 years ago
- Corrupted labels and label smoothing☆128Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II☆127Updated 6 years ago
- ☆44Updated 7 years ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆77Updated 6 years ago
- A web based demo of Google's sg2im neural network to convert a scene graph to a photorealistic image.☆35Updated 6 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆46Updated 7 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 6 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆148Updated 7 years ago
- ☆68Updated 7 years ago
- Transfer Learning Shootout for PyTorch's model zoo (torchvision)☆169Updated 4 years ago
- Library for data augmentation☆30Updated 6 years ago
- An unofficial PyTorch implementation of the HAN and AdaHAN models presented in the "Learning Visual Question Answering by Bootstrapping H…☆54Updated 6 years ago
- A bare-bones NumPy implementation of "Multimodal Neural Language Models" (Kiros et al, ICML 2014)☆54Updated 8 years ago
- A set of simple examples ported from PyTorch for Tensorflow Eager Execution☆73Updated 6 years ago
- repo that holds code for improving on dropout using Stochastic Delta Rule☆142Updated 6 years ago
- tunz's CUDA pytorch operator (MaskedSoftmax)☆75Updated 6 years ago
- ☆45Updated 7 years ago
- Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"☆96Updated 7 years ago
- Cleaned original source code from my NIPS publication☆154Updated 7 years ago
- Using the CLR algorithm for training (https://arxiv.org/abs/1506.01186)☆108Updated 6 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 7 years ago
- a list of recent papers on transfer learning☆24Updated 7 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 7 years ago
- Code Samples from Neural Networks for NLP☆72Updated 7 years ago