TanmDL's repositories
black-box-ripper
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms - NIPS 2020 - Official Implementation
contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
counterfactual_generative_networks
[ICLR'21] Counterfactual Generative Networks
CutMix-PyTorch
Official Pytorch implementation of CutMix regularizer
data-efficient-gans
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
DeepSurv
DeepSurv is a deep learning approach to survival analysis.
Elastic-Impedance-Inversion-Using-Recurrent-Neural-Networks
Codes and data for the paper: M. Alfarraj, and G. AlRegib, "Semi-Supervised Sequence Modeling for Elastic Impedance Inversion," in Interpretation, Aug. 2019
elastic-infogan
Official PyTorch implementation of Elastic-InfoGAN [NeurIPS 2020]
EvoGAN
EvoGAN: Evolutionary Algorithm based Neural Architecture Search for Generative Adversarial Networks
GAN-for-tabular-data
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
hopfield-layers
Hopfield Networks is All You Need
imaginaire
NVIDIA PyTorch GAN library with distributed and mixed precision support
imbalanced-semi-self
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
improved_CcGAN
Continuous Conditional Generative Adversarial Networks for Image Generation
PathPlanning
Common used path planning algorithms with animations.
Privacy-AdversarialLearning
[ECCV 2018] Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study
pytorch-cifar
95.47% on CIFAR10 with PyTorch
Pytorch-Transfomer
My implementation of the transformer architecture from the Attention is All you need paper applied to time series.
Self-Attention-GAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
self-paced-ensemble
ICDE'20 | A general & effective ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架
SLA
Self-supervised Label Augmentation via Input Transformations (ICML 2020)
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
unetgan
Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)