There are 1 repository under tensorboard-pytorch topic.
Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.
PyTorch implementation of (Hinton) Knowledge Distillation and a base class for simple implementation of other distillation methods.
U-Net for biomedical image segmentation
This repo helps to track model Weights, Biases and Gradients during training with loss tracking and gives detailed insight for Classification-Model Evaluation
Data visualization using Matplotlib, pandas, seaborn and tensorboard
Using tensorboardX (tensorboard for pytorch) e.g. ploting more than one graph in the same chat etc.
This project uses Deep Reinforcement Learning to solve the Lunar Lander environment of the OpenAI-Gym
A Wrapper class for the Tensorflow's Tensorboard.
Comprehensive image classification for training multilayer perceptron (MLP), LeNet, LeNet5, conv2, conv4, conv6, VGG11, VGG13, VGG16, VGG19 with batch normalization, ResNet18, ResNet34, ResNet50, MobilNetV2 on MNIST, CIFAR10, CIFAR100, and ImageNet1K.
Simple Feed-Forward Neural Network that classifies characters on the mnist dataset.
Crack detection and segmentation using a Mask RCNN model from detectron2 library
Dissertation completed for the award of MSci in Computer Science. This dissertation is about automated breast cancer detection in low-resolution whole-slide pathology images using a deep convolutional neural network pipeline.
This is a Pytorch package that can be used directly with PyTorch and Tensorboard to simplify the implementation process.
DCGAN implementation
MLP classifier on the MNIST dataset implemented in JAX with a GUI for entering hyperparameters, and a custom visualization of runs on TensorBoard.
Crack detection and Crack Length estimation using Deep Neural Networks. Reference: Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks (Young-Jin Cha & Wooram Choi)
Yet Another Word2Vec Implementation