Topic: dask-ml Goto Github
Some thing interesting about dask-ml
Some thing interesting about dask-ml
dask-ml,Classification of volumetric data attacks on network infrastructure using a CNN and LSTM network with the assistance of Dask framework
User: ahmadara
dask-ml,Scaling ML models with Taipy and Dask
User: alexandresajus
dask-ml,one-stop destination for all machine learning and artificial intelligence library and algorithms
User: amarkum
dask-ml,Rapidsai_Machine_learnring_on_GPU
User: ashishpatel26
Home Page: http://rapids.ai/
dask-ml,Preprocessing and predicting big data
User: deniseiras
dask-ml,Framework for computing Machine Learning algorithms in Python using Dask and RAPIDS AI.
Organization: discovery-unicamp
dask-ml,Adds partial fit method to sklearn's forest estimators to allow incremental training without being limited to a linear model. Works with Dask-ml's Incremental.
User: garethjns
dask-ml,Code for "Training models when data doesn't fit in memory" post
User: gdmarmerola
Home Page: https://gdmarmerola.github.io/big-data-ml-training/
dask-ml,Sentiment analysis on hotel reviews, using MongoDB, applying Dask parallel programming, comparing Recurrent and Convolutional neural networks and visualizating with Dash.
User: jaimeraynaud
dask-ml,Build ColumnTransformers (Scikit or DaskML) for feature transformation by specifying configs.
User: kengz
dask-ml,Using Dask-ML on Azure ML
User: lebedov
dask-ml,Fraud detection ML pipeline and serving POC using Dask and hopeit.engine. Project created with nbdev: https://www.fast.ai/2019/12/02/nbdev/
User: leosmerling-hopeit
dask-ml,Word2vec for large corpus for Bangle
User: mahirmahbub
dask-ml,A Parallel segmentation algorithm of a flowers dataset using Dask.
User: mrcopicat
dask-ml,Solution to kaggle competition OTTO – Multi-Objective Recommender System: https://www.kaggle.com/competitions/otto-recommender-system
User: nicolaivicol
dask-ml,BETA: Real-time inference from scalable machine learning in Python
User: nonabelian
dask-ml,Dask-parallelized project, contrasting GaussianNB and LightGBM models for EMNIST handwritten character classification.
User: parkernisbet
dask-ml,A Dask native implementation of 'Term Frequency Inverse Document Frequency' for dask-ml and scikit-learn
User: pr38
dask-ml,The following project shows and compares machine learning between Pandas DataFrames and Dask Dataframes.
User: sarmad9987
dask-ml,Saturn Cloud workshop on using LightGBM with Dask
Organization: saturncloud
Home Page: https://saturncloud.io/events/dask-summit-2021-lamb/
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