GitHub topics: dask-ml
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.
Language: Python - Size: 47.6 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
discovery-unicamp/dasf-core
Framework for computing Machine Learning algorithms in Python using Dask and RAPIDS AI.
Language: Python - Size: 23.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 10 - Forks: 2
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.
Language: Jupyter Notebook - Size: 437 KB - Last synced at: 17 days ago - Pushed at: 10 months ago - Stars: 36 - Forks: 3
amarkum/machine-learning-algos
one-stop destination for all machine learning and artificial intelligence library and algorithms
Language: Python - Size: 12.7 KB - Last synced at: 11 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
saturncloud/workshop-lightgbm-dask
Saturn Cloud workshop on using LightGBM with Dask
Language: Jupyter Notebook - Size: 114 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
pr38/dask_tfidf
A Dask native implementation of 'Term Frequency Inverse Document Frequency' for dask-ml and scikit-learn
Language: Python - Size: 7.81 KB - Last synced at: 22 days ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
MahirMahbub/Word2VecGenerator
Word2vec for large corpus for Bangle
Language: Python - Size: 8.79 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
AlexandreSajus/Taipy-Dask-ML-Demo
Scaling ML models with Taipy and Dask
Language: Python - Size: 357 KB - Last synced at: 28 days ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1
ahmadara/Classification-of-Attacks-with-Dask
Classification of volumetric data attacks on network infrastructure using a CNN and LSTM network with the assistance of Dask framework
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
deniseiras/PipelineModel
Preprocessing and predicting big data
Language: Python - Size: 38.1 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
arjunsawhney1/scalable-ML Fork of rajeevdixit19/Scaleable-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.
Size: 131 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
nicolaivicol/otto-recommender
Solution to kaggle competition OTTO – Multi-Objective Recommender System: https://www.kaggle.com/competitions/otto-recommender-system
Language: Python - Size: 103 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1
ashishpatel26/Rapidsai_Machine_learning_on_GPU
Rapidsai_Machine_learnring_on_GPU
Language: Jupyter Notebook - Size: 91.8 KB - Last synced at: 21 days ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 2
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/
Language: Jupyter Notebook - Size: 8.06 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 4
gdmarmerola/big-data-ml-training
Code for "Training models when data doesn't fit in memory" post
Language: Jupyter Notebook - Size: 2.94 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 4
IncubatorShokuhou/dask-tutorial Fork of dask/dask-tutorial
Dask tutorial；Dask汉化教程
Language: Jupyter Notebook - Size: 87.2 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1
sarmad9987/Machine-learning-with-Dask
The following project shows and compares machine learning between Pandas DataFrames and Dask Dataframes.
Language: Jupyter Notebook - Size: 107 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
ElHuaco/Distributed-k-means
Dask implementation of k-means|| and benchmarking
Language: Jupyter Notebook - Size: 326 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
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.
Language: Python - Size: 1.7 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
lebedov/dask-ml-on-azure-ml
Using Dask-ML on Azure ML
Language: Python - Size: 5.86 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1
nonabelian/leapy
BETA: Real-time inference from scalable machine learning in Python
Language: Python - Size: 609 KB - Last synced at: 6 months ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0
