Build the deep learning applications
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Updated
Dec 27, 2018
Build the deep learning applications
simple implementations of resnet and densenet for the purpose of practice
A LEGO-style PyTorch-based Deep Learning Library for ConvNets Modeling
Classify Lymphoma using Pytorch and DenseNet
In this research work, unsupervised abnormality has been detected by using intelligent and heterogeneous autonomous systems.
Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
Automated White Matter Hyperintensities (WMH) segmentation using Dense U-Net for improved MRI analysis in neurodegenerative disease research
A naive implementation of DenseNet in tensorflow
DenseNet implementation and training with TensorFlow 2.x
Re-training the deep neural network DenseNet using various learning rate strategies. Entry for the Food Recognition Challenge for the Master's course Applied Machine Learning.
Experimented with and compared DFW neural network optimizer with SGD and ADAM on both vision and language tasks
TUM - Advanced Deep Learning for Robotics SS21 project
Covid-19 Detection using is MobileNetV2, ResNet50, DenseNet169 and Xception which supported by sklearn library to train and testing on the dataset which consists of 3 classes, which are COVID-19, Normal and Lung Opacity.
A barebone introduction & practice of JAX
Densely Connected Convolutional Networks (DenseNets) with Tensorflow
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