Package Usage : pypi : Keras
Explore the latest package usage data for Keras in the pypi ecosystem, including detailed information on package dependencies and their usage.
Total dependents: 368
Total downloads: 966,595,327
Showing first 100 dependents
More details on packages.ecosyste.ms - JSON
broadinstitute/gatk 4.6.2.0
Official release repository for GATK versions 4.x
- version: 2.2.4
mshaikh/minigo_nvidia_mlperf v1.0
- version: 2.3.1
fascinatedcow/mycroft-precise 0.3
- version: 2.1.5
lucifer001/jupyter-conda gpu
- version: 2.3.1
mirekphd/tst-ml-gpu-py36-cuda8-failing 001766c55ca8
- version: 2.2.2
kennedyuche/test_model latest
- version: 2.4.3
kennedyuche/train_model latest
- version: 2.4.3
hunkly/kfpfairing v4
- version: 2.4.3
vtpl/counterflow_detection_gpu 0.2.116
- version: 2.4.3
ocdr/dkube-datascience-rs-pytorch-cpu v1.5.1
- version: 2.2.4
youyu/tensorflow-opencv-python 1.10.0-3.2
TensorFlow 1.10.0 GPU/CPU with Keras, OpenCv 3.2 and Python2 amd Python3 support
- version: 2.2.2
vtpl/crowd_formation_gpu 0.2.142
- version: 2.4.3
graymatics1/hydrabad4 2.0.0
- version: 2.3.1
graymatics1/vcount_r am4
- version: 2.3.1
intelliseqngs/task_bam-metrics-hg38 1.0.2
- version: 2.2.4
mirekphd/ml-cpu-py36-jup 20190218
- version: 2.2.4
ocdr/dkube-datascience-rs-pytorch-cpu-multiuser v1.5.1
- version: 2.2.4
mirekphd/ml-pred-py36-cuda90 20190826
- version: 2.2.4
amine2733/tao yolo_v2
- version: 2.2.4
andrewwg/dog-inference latest
- version: 2.2.5
amine2733/deep-learning latest
Deep learning with gpu on nvidia gtx 980
- version: 2.0.4
intelanalytics/jenkins-slave r0.8
- version: 2.1.6
integrisio/cluster-anaconda branch_task_IV-1384_PerformanceTestForStability
- version: 2.2.4
ocdr/d3datascience-vs-tf-gpu-multiuser v1.14-9
- version: 2.2.5
graymatics1/rebroadcast am4
- version: 2.3.1
ocdr/dkube-datascience-rs-pytorch-gpu-multiuser v1.5.1
- version: 2.2.4
rafalskolasinski/kwant latest
Basic image that I use in my research for a various projects. With Kwant installed from git.
- version: 2.2.4
dsyou20/kfp-pinner-comps 1.1
- version: 2.4.3
broadinstitute/gatk-nightly 2024-08-17-4.6.0.0-10-g9f2fbb553-NIGHTLY-SNAPSHOT
Official repository for nightly development builds of the GATK
- version: 2.2.4
dommgifer/tensorflow-custom 2.1.0-kale-0.7.0-gpu
- version: 2.4.3
intelliseqngs/gatk-4.1.9.0 1.0.0
- version: 2.2.4
graymatics1/aod latest
- version: 2.3.1
fnndsc/pl-fetal-brain-mask 1.2.1
- version: 2.3.1
glelis/azureml_image latest
- version: 2.3.1
jfcal/robotreviewer-gpu 20210809185734db7a53
- version: 2.1.5
kubeflow/tf-mnist-with-summaries v1-52e41d5
- version: 2.2.2
datasense/analysts 0.1
- version: 2.1.6
scottcame/rstudio-keras-cuda-default latest
- version: 2.2.0
graymatics1/pcount kv1
- version: 2.3.1
lucifer001/oneconvergence-dkube-examples-project beb30aa37e02b178718092f565a65f34178a220c
- version: 2.3.1
svkeerthy/rl4real version4
- version: 2.4.3
ztang301/exph vHipSTR
- version: 2.2.0
gesiscss/binder-wlandau-2dlearndrake-4eaf31 37504de3434ab3b0fedf8680a95efeeb605bef4d
- version: 2.2.4
raghukirannavipoint/galaxytools june23
- version: 2.3.1
ocdr/dkube-datascience-mpi-cpu v4.0.0
- version: 2.4.3
liyihui/model_train-server v1.0.23
model_train-server
- version: 2.2.0
liyihui/model_train-worker v1.0.23
- version: 2.2.0
intelliseqngs/task_bed-to-interval-list 1.1.5
- version: 2.2.4
harrisonai/cybertron dev_tftorch-latest
AI Build Images
- version: 2.4.3
srinivasuoh/mqttsubscribeimage latest
- version: 2.4.3
kennedyuche/preprocess_dataset latest
- version: 2.4.3
qdidiscoveryservices/gatk-v2461_bwa_aws latest
- version: 2.2.4
hoonbiolab/variantannotation_r v1.1
- version: 2.4.3
gesiscss/binder-annakaa-2ddltutorial-9bc2da 9690217943b39fd57b39aa0f3ab747f370d95d0b
- version: 2.3.1
graymatics1/rickshaw am4
- version: 2.3.1
gesiscss/binder-qingkaikong-2dssa-5fmachine-5flearning-5f2019-ae1ded 920968bf5b8d60111a7b0c57eddd98bc03138bf7
- version: 2.2.4
vladost/faceswap latest
- version: 2.1.2
footprintai/aixserver v0.5.1-debug-25
- version: 2.3.1
vaidyasm/kaggle-python latest
- version: 2.3.1
hoonbiolab/vcf-kit v1.1
- version: 2.4.3
ocdr/nucleoplasm-cytosol-demo 1.5.5
- version: 2.3.1
breaktire/charcnn-break latest
- version: 2.1.6
mirekphd/ml-gpu-r35-cuda90-rstud devel_9f39157
- version: 2.1.6
hoonbiolab/gatk4_scnv v1.1
- version: 2.4.3
lucifer001/oneconvergence-dkube-cicd-example-train 26b49f7a9fdc13f0ea8fc8f479b31938ec127324
- version: 2.3.1
ocdr/d3-datascience-sklearn-new v0.23.2
- version: 2.3.1
hoonbiolab/ascat v1.1
- version: 2.4.3
kennedyuche/export_models latest
- version: 2.4.3
graymatics1/handle am4-save
- version: 2.3.1
seahorse909/tf_bert_large 20230122T111600_ccm3.25.1388_enc64_SGX
- version: 2.6.0rc3
gesiscss/binder-r-2dspark-2dthe-2dr-2din-2dspark-5eb15d 68b42f8c2b8f78ed9ce68bded4ae6549d2a423d5
- version: 2.3.0
fnndsc/pl-mricnn_predict latest
An app to predict segmented brain MRI images from a given unsegmented brain MRI
- version: 2.4.3
abhishekdhariwal/tf_job_test1 latest
- version: 2.4.3
anjia0532/kubeflow-images-public.github-issue-summarization-serving-demo latest
- version: 2.1.5
intelanalytics/data-science-box 0.1
- version: 2.0.8
rogeriomantoanelli/fd_process_queue_api_no_avx latest
- version: 2.3.1
qdidiscoveryservices/gatk-v2461_bwa_aws_vardict latest
- version: 2.2.4
intelliseqngs/gatk-4.2.0.0-hg38 1.1.0
- version: 2.2.4
yiluxiangbei/centos7-tipdm latest
- version: 2.2.4
amitgupta4in/big1 latest
- version: 2.3.1
intelliseqngs/gatk-4.2.4.1 1.0.1
- version: 2.2.4
graymatics1/vehicle_count am4
- version: 2.3.1
intelliseqngs/resources-pgx-polygenic 1.2.4
- version: 2.2.4
etriddp/nlp-app latest
- version: 2.11.0
afsanta/sia_server latest
Node.js Server Image for Stereoscopic Image Analyzer
- version: 2.3.1
gene110/dismir_keras 2.3.1
- version: 2.3.1
graymatics1/anpr latest
- version: 2.3.1
kubeflow/tf-distributed-worker v1-9e46f9d
- version: 2.2.2
jiandong/anaconda playground-9.2-cudnn7
- version: 2.2.4
gesiscss/binder-lukas-2dml-2dclass-750b60 dee2ce909e07be184b04b29fa61822aa07567b84
- version: 2.4.3
bsjacky/seismic_analysis 1.0.9
- version: 2.4.3
ocdr/dkube-custom-serving-nucleoplasm-cytosol 2.0.1
- version: 2.3.1
gesiscss/binder-yaleatlas-2dcerndeeplearningtutorial-917fae 93a7aeef67fc6108fe810c784a38cb06fd650cf2
- version: 2.3.1
intelliseqngs/task_vcf-anno-custom 1.0.1
- version: 2.2.0
hoonbiolab/hl_base v1.2
- version: 2.4.3
181192/ml gpu
Complete Machine Learning Docker Environment
- version: 2.1.6, 2.2.2
hoonbiolab/sequenza v1.1
- version: 2.4.3
didimdockerhub/didim-18.04-python3.7 latest
- version: 2.4.0