Python Machine-Learning libraries, code examples, articles

functime 0.9.5 09-10

lightning 2.4.0 08-24

vaex-jupyter 0.8.2 08-23

vaex 4.17.0 08-23

nyoka 5.5.0 08-17

txtai 7.4.0 08-16

ludwig 0.10.4 08-16

nas-ga 0.0.4 08-13

kangas 2.4.9 08-10

streamlit-prophet 1.0.0 08-09

ydata-profiling 4.10.0 08-08

smartpip2 2.1.9.9 08-07

recommenders 1.2.0 08-05

pre-reco-utils 2021.2.17 08-05

recommender-utils 2021.2.post1623854186 08-05

Adeepspeed 0.9.2 08-05

auto_ml 2.9.10 08-05

streamlit-tags 1.2.8 08-02

tensorflowonspark 2.2.5 08-01

vectorbt 0.26.2 07-31

pyoptimus 23.5.0b0 07-31

sfdc-merlion 1.0.0 07-31

modelscope 1.18.1 07-30

openbb 4.3.3 07-29

neuralforecast 1.7.5 07-27

segment-geospatial 0.11.5 07-22

rasa 3.6.20 07-21

detectors 0.1.11 07-21

persistable-clustering 0.5.3 07-19

audioflux 0.1.9 07-17

skypilot 0.6.1 07-14

flwr 1.11.1 07-14

daal4py 2024.7.0 07-02

scikit-learn-intelex 2024.7.0 07-02

labml-app 0.5.14 06-29

deeplake 3.9.26 06-28

recordlinkage 0.16 06-24

trax 1.4.1 06-24

tensor2tensor 1.15.7 06-24

stable-baselines 2.10.2 06-24

pyswarms 1.3.0 06-24

optimuspyspark 2.2.32 06-24

creme 0.6.1 06-24

huggingface-hub 0.25.2 06-21

JarvisAI 4.9 06-20

ultralytics 8.3.11 06-18

dist-keras 0.2.1 06-18

torchpack 0.3.1 06-18

torchaudio 2.4.1 06-18

test-tube 0.7.5 06-18

spacy-loggers 1.0.5 06-18

sagemaker 2.232.2 06-18

pytorch-ignite 0.5.1 06-18

ml-datasets 0.2.0 06-18

jina 3.27.17 06-18

mage-ai 0.9.74 06-17

pycaret 3.3.2 06-16

autogluon 1.1.1 02-03

yellowbrick 1.5 02-03

pyqlib 0.9.5 02-03

PennyLane 0.38.0 01-28

netml 0.7.1 01-23

torchbearer 0.5.5 01-21

skorch 1.0.0 01-21

Haiku 0.01 01-21

ktrain 0.41.4 01-21

mlpack 4.5.0 01-21

opyrator 0.0.12 01-19

spacy-streamlit 1.0.6 01-16

pyro-ppl 1.9.1 01-16

orbit-ml 1.1.4.9 01-16

fiftyone 1.0.0 01-07

farm-haystack 1.26.3 01-03

pytextrank 3.3.0 01-03

face-recognition 1.3.0 12-29

sweetviz 2.3.1 12-29

gradio 5.0.2 12-29

woodwork 0.31.0 12-20

xedro 0.17.6 12-20

scikit-uplift 0.5.1 12-19

scikit-optimize 0.10.2 12-19

pytorch-argus 1.1.0 12-19

pytorch-tabular 1.1.0 12-19

jupyterlab-templates 0.5.2 12-18

rexmex 0.1.3 12-18

umap-learn 0.5.6 12-18

paddlepaddle 2.6.2 12-18

torchvision 0.19.1 12-18

pytorch-lightning 2.4.0 12-18

pyAudioAnalysis 0.3.14 12-18

audiotools 0.1.0 12-18

autoviz 0.1.905 12-04

petastorm 0.12.1 08-10

optuna 4.0.0 08-10

optax 0.2.3 08-10

openml 0.15.0 08-10

open3d 0.18.0 08-10

onnxmltools 1.12.0 08-10

onnxconverter-common 1.14.0 08-10

onnx 1.17.0 08-10

mne 1.8.0 08-10

mlxtend 0.23.1 08-10

mlflow-skinny 2.17.0 08-10

mlagents-envs 1.1.0 08-10

mlagents 1.1.0 08-10

mediapipe 0.10.15 08-10

lightfm 1.17 08-10

kornia 0.7.3 08-10

kfp-server-api 2.3.0 08-10

kfp-pipeline-spec 0.4.0 08-10

kfp 2.9.0 08-10

keras-tuner 1.4.7 08-10

kedro 0.19.9 08-10

interpret-community 0.31.0 08-10

imbalanced-learn 0.12.4 08-10

huggingface-hub 0.25.2 08-10

horovod 0.28.1 08-10

hdbscan 0.8.39 08-09

h2o-pysparkling-3.0 3.46.0.5.post1 08-09

h2o-pysparkling-2.4 3.46.0.5.post1 08-09

h2o-pysparkling-2.1 3.32.1.7-1 08-09

h2o 3.46.0.5 08-09

gluonts 0.15.1 08-09

gluonnlp 0.10.0 08-09

gluoncv 0.10.5.post0 08-09

flair 0.14.0 08-09

feast 0.40.1 08-09

fastai 2.7.17 08-09

facets-overview 1.1.1 08-09

face-recognition 1.3.0 08-09

econml 0.15.1 08-09

easyocr 1.7.2 08-09

dtreeviz 2.2.2 08-09

dowhy 0.11.1 08-09

dm-haiku 0.0.12 08-09

dlib 19.24.6 08-09

deepspeed 0.15.2 08-09

datasets 3.0.1 08-09

corextopic 1.1 08-09

coremltools 8.0 08-09

combo 0.1.3 08-09

clearml-agent 1.9.1 08-09

clearml 1.16.4 08-09

causalml 0.15.2 08-09

azureml-widgets 1.57.0 08-09

azureml-train-restclients-hyperdrive 1.57.0 08-09

azureml-train-core 1.57.0 08-09

azureml-train-automl-runtime 1.57.0 08-09

azureml-train-automl-client 1.57.0 08-09

azureml-train-automl 1.57.0 08-09

azureml-telemetry 1.56.0 08-09

azureml-sdk 1.56.0 08-09

azureml-pipeline-steps 1.56.0 08-09

azureml-pipeline-core 1.57.0 08-09

azureml-pipeline 1.57.0 08-09

azureml-model-management-sdk 1.0.1b6.post1 08-09

azureml-mlflow 1.57.0.post1 08-09

azureml-interpret 1.57.0 08-09

azureml-designer-serving 0.0.15 08-09

azureml-designer-core 0.0.80 08-09

azureml-defaults 1.57.0.post1 08-09

azureml-dataset-runtime 1.57.0 08-09

azureml-contrib-services 1.57.0 08-09

azureml-cli-common 1.57.0 08-09

azureml-automl-runtime 1.57.0 08-09

azureml-automl-core 1.57.0 08-09

autogluon.core 1.1.1 08-09

apache-airflow-backport-providers-ssh 2021.3.3 08-09

apache-airflow-backport-providers-snowflake 2021.3.13 08-09

apache-airflow-backport-providers-microsoft-azure 2021.3.13 08-09

apache-airflow-backport-providers-google 2021.3.3 08-09

apache-airflow-backport-providers-databricks 2020.11.23 08-09

apache-airflow-backport-providers-amazon 2021.3.3 08-09

albumentations 1.4.18 08-09

mlflow 2.17.0 08-08

scikit-learn 1.5.2 08-08

apache-airflow 2.10.2 08-08

lightgbm 4.5.0 08-08

tensorflow-probability 0.24.0 08-08

pytorch-nlp 0.5.0 08-08

transformers 4.45.2 08-08

shap 0.46.0 08-08

tensorflow-hub 0.16.1 08-08

xgboost 2.1.1 08-08

tensorflow-model-analysis 0.46.0 08-08

tensorflow-addons 0.23.0 08-08

thinc 9.1.1 08-07

tensorflow 2.17.0 08-07

streamlit 1.36.0 08-07

spacy 3.8.2 08-07

nltk 3.9.1 08-07

nlp 0.4.0 08-07

keras 3.6.0 08-07

gensim 4.3.3 08-07

Machine-Learning

All Machine-Learning libraries, code examples, articles

PyPi packages