Somshubra Majumdar

Neural-Style-Transfer. Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

Image-Super-Resolution. Implementation of Super Resolution CNN in Keras.

neural-image-assessment. Implementation of NIMA: Neural Image Assessment in Keras

LSTM-FCN. Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

DenseNet. DenseNet implementation in Keras

MLSTM-FCN. Multivariate LSTM Fully Convolutional Networks for Time Series Classification

neural-architecture-search. Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

keras-squeeze-excite-network. Implementation of Squeeze and Excitation Networks in Keras

Inception-v4. Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras

Keras-Classification-Models. Collection of Keras models used for classification

Snapshot-Ensembles. Snapshot Ensemble in Keras

keras-one-cycle. Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)

keras-non-local-nets. Keras implementation of Non-local Neural Networks

Super-Resolution-using-Generative-Adversarial-Networks. An implementation of SRGAN model in Keras

tf-TabNet. A Tensorflow 2.0 implementation of TabNet.

tfdiffeq. Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support

Keras-ResNeXt. Implementation of ResNeXt models from the paper Aggregated Residual Transformations for Deep Neural Networks in Keras 2.0+.

Keras-NASNet. "NASNet" models in Keras 2.0+ with weights

keras-efficientnets. Keras Implementation of EfficientNets

tf_SIREN. Tensorflow 2.0 implementation of Sinusodial Representation networks (SIREN)

keras-coordconv. Keras implementation of CoordConv for all Convolution layers

MobileNetworks. Keras implementation of Mobile Networks

keras-adabound. Keras implementation of AdaBound

keras-attention-augmented-convs. Keras implementation of Attention Augmented Convolutional Neural Networks

progressive-neural-architecture-search. Implementation of Progressive Neural Architecture Search in Keras and Tensorflow

Keras-DualPathNetworks. Dual Path Networks for Keras 2.0+

Wide-Residual-Networks. Wide Residual Networks in Keras

Fast-Neural-Style. Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in Keras

Keras-Group-Normalization. A Keras implementation of https://arxiv.org/abs/1803.08494

BatchRenormalization. Batch Renormalization algorithm implementation in Keras

keras-SRU. Implementation of Simple Recurrent Unit in Keras

Nested-LSTM. Keras implementation of Nested LSTMs

Fully-Connected-DenseNets-Semantic-Segmentation. Fully Connected DenseNet for Image Segmentation (https://arxiv.org/pdf/1611.09326v1.pdf)

keras-LAMB-Optimizer. Implementation of the LAMB optimizer for Keras from the paper "Reducing BERT Pre-Training Time from 3 Days to 76 Minutes"

tf-eager-examples. A set of simple examples ported from PyTorch for Tensorflow Eager Execution

keras_rectified_adam. Implementation of Rectified Adam in Keras

Keras-IndRNN. Implementation of IndRNN in Keras

LSTM-FCN-Ablation. Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"

keras-octconv. Keras implementation of Octave Convolutions

keras-global-context-networks. Keras implementation of Global Context Attention blocks

tf_fourier_features. Tensorflow 2.0 implementation of Fourier Feature Mapping Networks.

Neural-Style-Transfer-Windows. Windows Form application written in C# to ease usage of neural style transfer script

Keras-Multiplicative-LSTM. Miltiplicative LSTM for Keras 2.0+

keras_mixnets. Keras Implementation of MixNets: Mixed Depthwise Convolutions

Keras-just-another-network-JANET. Keras implementation of [The unreasonable effectiveness of the forget gate](https://arxiv.org/abs/1804.04849)

keras-neural-alu. A Keras implementation of Neural Arithmatic and Logical Unit

Deep-Columnar-Convolutional-Neural-Network. Deep Columnar Convolutional Neural Network architecture, which is based on Multi Columnar DNN (Ciresan 2012).

Residual-of-Residual-Networks. Residual Network of Residual Networks in Keras

Adversarial-Attacks-Time-Series. Codebase for the paper "Adversarial Attacks on Time Series"

keras-padam. Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"

dtw-numba. Implementation of Dynamic Time Warping algorithm with speed improvements based on Numba.

pytorch_odegan. Partial implementation of ODE-GAN technique from the paper Training Generative Adversarial Networks by Solving Ordinary Differential Equations

Python-Work. Python scripts to facilitate easy working

Music-Recognition. C# project to perform Frequency Analysis of music