titu1994 / tf_neural_deconvolution

Related projects: ⓘ

• titu1994 / keras_novograd
  Keras implementation of NovoGrad
  ☆20Updated 4 years ago
• Randl / kmeans_selfsuper
  ☆54Updated 2 years ago
• lnsmith54 / BOSS
  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
• mpatacchiola / Y-AE
  Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…
  ☆52Updated 3 years ago
• dhuynh95 / fastai_bayesian
  Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.
  ☆35Updated 3 years ago
• philipperemy / keras-sde-net
  Keras implementation of SDE-Net (ICML 2020).
  ☆15Updated 4 years ago
• titu1994 / keras_rectified_adam
  Implementation of Rectified Adam in Keras
  ☆69Updated 5 years ago
• i-pan / kaggle-siim-ptx
  8th place solution for SIIM-ACR Pneumothorax Segmentation competition on Kaggle
  ☆21Updated 2 years ago
• Ximilar-com / tf-metric-learning
  Minimalistic TensorFlow2+ deep metric/similarity learning library with loss functions, miners, and utils as embedding projector.
  ☆37Updated last year
• titu1994 / Python-Work
  Python scripts to facilitate easy working
  ☆11Updated 2 months ago
• asvcode / 1_cycle
  A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith
  ☆11Updated 6 years ago
• sayakpaul / Training-BatchNorm-and-Only-BatchNorm
  Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
  ☆28Updated 4 years ago
• ananyahjha93 / libself
  PyTorch Lightning based framework to run experiments for self-supervised learning tasks.
  ☆10Updated 4 years ago
• jiangqy / Data-Augmentation-Pytorch
  ☆15Updated this week
• morganmcg1 / kaggle_rsna_2nd_place_solution
  Notebooks to accompany the blog posts about the 2nd place Kaggle RSNA winners: https://github.com/darraghdog/rsna
  ☆30Updated 4 years ago
• ducha-aiki / hardnet-in-fastai2-and-kornia
  Re-implementation of local descriptor HardNet training in fasta2+kornia
  ☆21Updated 4 years ago
• ayulockin / DataAugmentationTF
  Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.
  ☆35Updated 4 years ago
• titu1994 / keras-padam
  Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"
  ☆17Updated 6 years ago
• CyberZHG / tf-keras-kervolution-2d
  Kervolutional neural networks
  ☆16Updated 5 years ago
• titu1994 / keras-normalized-optimizers
  Wrapper for Normalized Gradient Descent in Keras
  ☆17Updated 6 years ago
• Holmeswww / PPOGAN
  ☆24Updated 4 months ago
• cogentlabs / n-beats
  ☆11Updated this week
• titu1994 / keras-global-context-networks
  Keras implementation of Global Context Attention blocks
  ☆46Updated 5 years ago
• VinayTeki / Semantic_Segmentation
  KERAS: Multimodal Deep Learning for Semantic Segmentation (RGB, NIR Streams) - multiple architectures
  ☆11Updated 7 years ago
• lessw2020 / Thunder-Detr
  (unofficial) - customized fork of DETR, optimized for intelligent obj detection on 'real world' custom datasets
  ☆12Updated 4 years ago
• missinglinkai / common-nn-mistakes
  ☆15Updated this week
• sdoria / EfficientNet
  Converting EfficientNet to Pytorch for use with fastai
  ☆27Updated 5 years ago
• ariG23498 / G-SimCLR
  This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…
  ☆75Updated 2 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 4 years ago
• ZFTurbo / Keras-augmentation-layer
  Keras implementation of layer which performs augmentations of images using GPU.
  ☆49Updated 2 years ago