thecml/lego-keras-gan

Stars
2
Language
Python
License
MIT License
Created about 4 years ago
Updated about 4 years ago

thecml/lego-keras-gan

thecml

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A GAN to create images of LEGO figures.

dpsgd-optimizer

Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enforces privacy by clipping and sanitising the gradients with Gaussian noise during training.

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)

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)

Jupyter Notebook

mensa

MENSA: A Multi-Event Network for Survival Analysis under Informative Censoring (2024)

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 improvements

baysurv-wip

Jupyter Notebook

cloud-ksvd

Cloud K-SVD for Image Denoising

neural_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.