Pinned Repositories
APDCM2021
arc42-sample
clearml-agent
ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution
clearml-helm-charts
Helm chart repository for the new unified way to deploy ClearML on Kubernetes.
ConvLSTM_pytorch
Implementation of Convolutional LSTM in PyTorch.
filter_rasters_oi_by_vector
game-of-life
gdal
GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.
go-hackathon
pytorch-layers
FeU-aKlos's Repositories
FeU-aKlos/pytorch-layers
FeU-aKlos/APDCM2021
FeU-aKlos/arc42-sample
FeU-aKlos/clearml-agent
ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution
FeU-aKlos/clearml-helm-charts
Helm chart repository for the new unified way to deploy ClearML on Kubernetes.
FeU-aKlos/ConvLSTM_pytorch
Implementation of Convolutional LSTM in PyTorch.
FeU-aKlos/filter_rasters_oi_by_vector
FeU-aKlos/game-of-life
FeU-aKlos/gdal
GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.
FeU-aKlos/go-hackathon
FeU-aKlos/kubecon24-wasm
wasm
FeU-aKlos/Machine-Learning
FeU-aKlos/minimal-clearml-sample
minimal mnist sample with clearml
FeU-aKlos/minimal-rsync-image
FeU-aKlos/my-awesome-test-repo
This is a test repository
FeU-aKlos/nsganetv2
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
FeU-aKlos/petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
FeU-aKlos/prefect-helm
Helm charts for deploying Prefect Services
FeU-aKlos/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
FeU-aKlos/pytorch_modelsize
Estimates the size of a PyTorch model in memory
FeU-aKlos/qgis-server-k8s
FeU-aKlos/ragas
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
FeU-aKlos/u-nets