A model to classify gender, age and ethnicity of a person
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Updated
May 23, 2019 - Jupyter Notebook
A model to classify gender, age and ethnicity of a person
Deep Learning Models written in Tensorflow
Age and gender prediction using deep learning (convolution neural networks)
ResNet
Wide Residual Networks in Keras and PyTorch
Estimate number and location of people in crowd image
Wide-Resnet-Ensemble implementation for CIFAR100 kaggle submission: >83.97% on kaggle private leaderboard
Decathlon Multiple Visual Domains with Residual Adapters in Keras
Implementing and comparing performance of various deep learning models on CIFAR-10 dataset
This repository was created as an implementation approach for a project on "Watermarking Deep Neural Networks".
Implementation of a Wide Residual Network on Tensorflow for Image Classification. Trained and tested on Cifar10 dataset.
Reproducing the paper "PADAM: Closing The Generalization Gap of Adaptive Gradient Methods In Training Deep Neural Networks" for the ICLR 2019 Reproducibility Challenge
Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligence
Caffe Wide-Residual-Network (WRN) Generator
PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
Accelerate Neural Net Training by Progressively Freezing Layers
Handwritten digit recognition with MNIST & Keras
Various CNN models for CIFAR10 with Chainer
Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge
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