Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.
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Updated
Jun 4, 2025 - Python
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
Using tensorboardX (tensorboard for pytorch) e.g. ploting more than one graph in the same chat etc.
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.
This project uses Deep Reinforcement Learning to solve the Lunar Lander environment of the OpenAI-Gym
A Wrapper class for the Tensorflow's Tensorboard.
Simple Feed-Forward Neural Network that classifies characters on the mnist dataset.
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.
Practical use of basic tool for machine learning using PyTorch lib
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.
Yet Another Word2Vec Implementation
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