Simple Feed-Forward Neural Network that classifies characters on the mnist dataset.

A multibranch neural net architecture. (PyTorch)

Starter repository for Manning LP: Use Machine Learning to Detect Phishing Websites

Training pipeline for image classification in PyTorch.

Contains my explorations of using Docker to automate ML workflows.

Very minimal pytorch boilerplate with wandb logging and multi gpu support

A test repository to demonstrate wandb integration with GitHub Actions for automatic metric reporting for ML models.

Sequence models in Numpy

Pytorch-lightning framework for knowledge distillation experiments with CNN

Using semantic segmentation to detect steel surface defects

Implementation of "Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks" by Fang et al. (2020)

🐋 Template for ML projects using VSCode Development Containers

Et maskinlæringsprosjekt i faget TDAT3025 - Anvendt maskinlæring med prosjekt.

Experiments to try and get the solo 8 up and running

Kaggle Competition Repogitry

This repo includes code files for project, I did at XYMA Analytics.

Example of integration of Neu.ro with W&B for hyperparameter tuning

conducting the decision tree for capabilities of frameworks, that assist in reproducing results in Machine Learning: wandb, guild.ai and mlflow

Pytorch solution of MIDAS LAB INTERNSHIP Task 2

Our work implements novel L2-Norm gradient (L2Grad) and variance of the weight distrbution (VarianceNorm) regularizers for quantization-aware training such that the distribution of weights are more compatible with post-training quantization especially for low bit-widths. We provide a theoretical basis that directly relates L2-Grad with post quan…