vkakerbeck / Progressively-Growing-NetworksLinks
Experiments on different dataset on how to grow networks during training to learn new image categories.
☆62Updated 5 years ago
Alternatives and similar repositories for Progressively-Growing-Networks
Users that are interested in Progressively-Growing-Networks are comparing it to the libraries listed below
Sorting:
- Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)☆74Updated 3 years ago
- Corrupted labels and label smoothing☆129Updated 7 years ago
- Implementation of Rectified Adam in Keras☆70Updated 5 years ago
- Unofficial Keras implementation of the paper Attentive Normalization.☆29Updated 5 years ago
- Simple Tensorflow implementation of "On The Variance Of The Adaptive Learning Rate And Beyond"☆97Updated 5 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆77Updated 3 years ago
- Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…☆52Updated 4 years ago
- Knowledge Distillation Toolkit☆88Updated 5 years ago
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆212Updated 5 years ago
- Keras implementation of Attention Augmented Convolutional Neural Networks☆121Updated 5 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- TF2.0 port for Augmix paper☆79Updated 5 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆45Updated 5 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 4 years ago
- Keras implementation of Octave Convolutions☆53Updated 6 years ago
- Attention based sequence to sequence neural machine translation model built in keras.☆30Updated 7 years ago
- Converting EfficientNet to Pytorch for use with fastai☆27Updated 6 years ago
- A PyTorch Implementation of popular cyclic learning rate schedules☆35Updated 6 years ago
- Unofficial pytorch implementation of ReZero in ResNet☆23Updated 5 years ago
- AI challenge deadlines with link to software baselines and evaluation results.☆197Updated 5 years ago
- Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.☆94Updated last year
- Unsupervised Data Augmentation experiments in PyTorch☆59Updated 5 years ago
- Blog https://medium.com/neuralmachine/knowledge-distillation-dc241d7c2322☆60Updated 6 years ago
- Minimal implementation of SimSiam (https://arxiv.org/abs/2011.10566) in TensorFlow 2.☆98Updated 4 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Cyclical_LR_Scheduler_With_Decay_Pytorch☆34Updated 5 years ago
- Notebook for comprehensive analysis of authors, organizations, and countries of ICML 2020 papers.☆56Updated 4 years ago
- ☆125Updated 3 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 4 years ago
- Utilities for Pytorch☆89Updated 2 years ago