dask-ml
There are 25 repositories under dask-ml topic.
garethjns/IncrementalTrees
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.
gdmarmerola/big-data-ml-training
Code for "Training models when data doesn't fit in memory" post
discovery-unicamp/dasf-core
Framework for computing Machine Learning algorithms in Python using Dask and RAPIDS AI.
ashishpatel26/Rapidsai_Machine_learning_on_GPU
Rapidsai_Machine_learnring_on_GPU
nicolaivicol/otto-recommender
Solution to kaggle competition OTTO – Multi-Objective Recommender System: https://www.kaggle.com/competitions/otto-recommender-system
IncubatorShokuhou/dask-tutorial-chinese
Dask tutorial；Dask汉化教程
leosmerling-hopeit/fraud-poc
Fraud detection ML pipeline and serving POC using Dask and hopeit.engine. Project created with nbdev: https://www.fast.ai/2019/12/02/nbdev/
AlexandreSajus/Taipy-Dask-ML-Demo
Scaling ML models with Taipy and Dask
pr38/dask_tfidf
A Dask native implementation of 'Term Frequency Inverse Document Frequency' for dask-ml and scikit-learn
ElHuaco/Distributed-k-means
Dask implementation of k-means|| and benchmarking
kengz/feature_transform
Build ColumnTransformers (Scikit or DaskML) for feature transformation by specifying configs.
lebedov/dask-ml-on-azure-ml
Using Dask-ML on Azure ML
ahmadara/Attack-Classification-with-Dask
Classification of volumetric data attacks on network infrastructure using a CNN and LSTM network with the assistance of Dask framework
arjunsawhney1/scalable-ML
In this repo, I build a LogisticRegression prediction model with Dask and PySpark and initialize an AWS EMR cluster to run the entire pipeline.
jaimeraynaud/Hotel_reviews_2
Sentiment analysis on hotel reviews, using MongoDB, applying Dask parallel programming, comparing Recurrent and Convolutional neural networks and visualizating with Dash.
mrcopicat/dask-parallel-image-Segmentation
A Parallel segmentation algorithm of a flowers dataset using Dask.
nonabelian/leapy
BETA: Real-time inference from scalable machine learning in Python
parkernisbet/dask-emnist-classification
Dask-parallelized project, contrasting GaussianNB and LightGBM models for EMNIST handwritten character classification.
sarmad9987/Machine-learning-with-Dask
The following project shows and compares machine learning between Pandas DataFrames and Dask Dataframes.
amarkum/machine-learning-algos
one-stop destination for all machine learning and artificial intelligence library and algorithms
deniseiras/PORTFOLIO_PipelineModel
Preprocessing and predicting big data
MahirMahbub/Word2VecGenerator
Word2vec for large corpus for Bangle
PylarBear/pybear
pybear is a Python computing library that augments data analytics functionality found in the popular numpy, scikit-learn, dask, and dask_ml libraries.
saturncloud/workshop-lightgbm-dask
Saturn Cloud workshop on using LightGBM with Dask