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pytorch-lmdb
A simple Lightning Memory-Mapped Database (LMDB) converter for ImageFolder datasets in PyTorch. Using LMDB over a regular file structure improves I/O performance significantly. Works on both Windows and Linux. Comes with latest Python support.thesis-cloudksvd
Master's thesis about sparse approximation and dictionary learning using Cloud K-SVD for image denoising. Results show that the algorithm is able to learn sparse representations of signal vectors from distributed data samples in a heterogeneous network setup.ball-bearing-survival
Implementation of Predicting Survival Time of Ball Bearings in the Presence of Censoring (AAAI Fall Symposium 2023)rulsurv
Code for: A probabilistic estimation of remaining useful life from censored time-to-event data (2024)lego-keras-gan
A GAN to create images of LEGO figures.ertms-modelling-vdm
An Overture project that models ERTMS level 2 and interlocking properties in VDM++.UE-BNNSurv
Official TensorFlow implementation of Uncertainty Estimation in Deep Bayesian Survival Models (BHI 2023)kubernetes-exercises
Hands-on exercises for Docker and Kubernetes.survival-datasets
Data loader for most common datasets in survival analysis.fedasync-with-fairness
FedAsync with proposed fairness improvementsbaysurv-wip
cloud-ksvd
Cloud K-SVD for Image Denoisingneural_embedder
A small library that can encode categorical variables to entity embeddings using a TensorFlow 2.0 neural network. Supports classification and regression problems. Network parameters are adjustable.csgo-ai-challenge
Skybox presented an AI challenge that ran from Spring to Fall 2020, where teams had to predict the winner of rounds in the tactical shooter CS:GO. This project uses TensorFlow, Scikit-learn and CatBoost to train robust model ensembles using the most relevant features.Love Open Source and this site? Check out how you can help us