Package Usage : pypi : torch-cluster
Explore the latest package usage data for torch-cluster in the pypi ecosystem, including detailed information on package dependencies and their usage.
Total dependents: 47
Total downloads: 24,440,193
Showing first 100 dependents
More details on packages.ecosyste.ms - JSON
anyscale/ray-ml 2.38.0
- version: 1.6.0 pt113cu116, 1.6.1 pt20cu118
fedml/fedml-server-agent v0.9.2
- version: 1.6.1 pt113cu116
didayolo/l2rpn idf.2023.3
- version: 1.6.1, 1.6.0
pointcept/pointcept v1.5.0-pytorch2.0.1-cuda11.7-cudnn8-devel
Pointcept is a codebase for point cloud perception.
- version: 1.6.1
paulvorobyev/ray-test 0.0.1
- version: 1.6.0, 1.6.0 pt113cu116
federatedai/eggroll-nn-gpu 2.0.0-release
- version: 1.6.0, 1.6.0 pt113cpu
fangjy6/base_env el4qa_latest
- version: 1.5.9
federatedai/fateflow-spark-all-gpu latest
- version: 1.6.0
jih189/jiaming-manipulation latest
- version: 1.6.1 pt20cu117
napoler/rosettafold 1.0.0.1
- version: 1.5.9
tuanpham1503/torch_conda 0.4
- version: 1.6.0
captain0pool/streaming rise
- version: 1.6.1 pt113cu116
alextintin007/coffea-base 1.0.14
- version: 1.6.0 pt112cpu
fedml/fedml-default-inference-backend latest
- version: 1.6.1 pt113cu116
stormgod/deepmaps-cpu latest
- version: 1.5.9
manishsaraf/ogmqc-jupyter v1.0
- version: 1.6.0
edwardjosue2005/pialnn latest
- version: 1.5.8
thermal4docker/unignn v0.3
- version: 1.6.1 pt20cu118
dougbenjamin/analysis-systems-base latest
- version: 1.6.0 pt112cpu
samirmoustafa/pyg-cpu latest
- version: 1.6.1 pt113cpu
emmanuelzula/servicio 1.2
- version: 1.5.9
federatedai/spark-worker-all-gpu latest
- version: 1.6.0
bladerunnerlabs/dev-mesh-nvidia-pytorch 0.4
- version: 1.6.0
bladerunnerlabs/mesh-nvidia-pytorch 0.3
- version: 1.6.0
federatedai/fateflow-nn-gpu 2.0.0-release
- version: 1.6.0
hoon0528/py111_cu113_hoon latest
- version: 1.6.0
5wjdgns21/pythoch v1
- version: 1.5.9
calous/tp3d fine
- version: 1.5.9, 1.6.0
aveshatest/test latest
- version: 1.6.1
rainytong/fpl_cuda_11.7.1 latest
- version: 1.6.1 pt113cu117
jcoffi/cluster-anywhere cu124
This is a work in progress and it doesn't work yet. It is based on Ray.io, mesh VPN, and CrateDB.
- version: 1.6.1
fallingstar10/gmadeomicsrocker tiny
- version: 1.6.1 pt20cpu
zhangchao162/cuda-pytorch 11.3
cuda11.3 + torch1.10.0 + torch_geometric
- version: 1.6.0
anyscale/ray 2.34.0
- version: 1.6.1
graphistry/graph-app-kit-st v2.43.7-fix-gfql-12.8
graph-app-kit's StreamLit layer ( https://github.com/graphistry/graph-app-kit )
- version: 1.6.2
yuxiaoguo/torch112-cu113-stratified latest
- version: 1.6.0
lt4inc/jupyter-server tmp
- version: 1.6.0
dougbenjamin/jupyter-dask-iris-hep latest
- version: 1.6.0 pt112cpu
jottue/detectron_deform nsml
- version: 1.5.9
cford38/diffdock latest
Docker image for performing small molecule docking with DiffDock (also includes JupyterLab).
- version: 1.6.0 pt112cu113
cqxmzz/lean foundation
- version: 1.6.0
hugvgngj/gendock latest
- version: 1.6.0
yuxiaoguo/torch112-cu113-mmdet3d latest
- version: 1.6.0
slelove/oss-ci-base_test latest
- version: 1.6.0
rayproject/ray 2.36.1
Official Docker Images for Ray, the distributed computing API.
- version: 1.6.1
ygkim1225/2dsphere v3
- version: 1.6.0
fasihgcp/rayml 1.0
- version: 1.6.0