Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by szilard
A curated list of projects in awesome lists by szilard .
https://github.com/szilard/benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
data-science deep-learning gradient-boosting-machine h2o machine-learning python r random-forest spark xgboost
Last synced: 12 Oct 2024
https://github.com/szilard/gbm-perf
Performance of various open source GBM implementations
benchmark gbm gradient-boosting-machine h2oai lightgbm machine-learning xgboost
Last synced: 12 Oct 2024
https://github.com/szilard/GBM-perf
Performance of various open source GBM implementations
benchmark gbm gradient-boosting-machine h2oai lightgbm machine-learning xgboost
Last synced: 25 Oct 2024
https://github.com/szilard/teach-data-science-ucla-master-appl-stats
Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
Last synced: 12 Oct 2024
https://github.com/szilard/teach-data-science-UCLA-master-appl-stats
Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
Last synced: 04 Aug 2024
https://github.com/szilard/benchm-databases
A minimal benchmark of various tools (statistical software, databases etc.) for working with tabular data of moderately large sizes (interactive data analysis).
Last synced: 28 Oct 2024
https://github.com/szilard/ml-prod
Some thoughts on how to use machine learning in production
Last synced: 12 Oct 2024
https://github.com/szilard/benchm-dl
Playing with various deep learning tools and network architectures
Last synced: 28 Oct 2024
https://github.com/szilard/survey-ml-tools
Quick informal survey at the Los Angeles Machine learning meetup about tools used for machine learning.
Last synced: 12 Oct 2024
https://github.com/szilard/teach-data-science-msc-analytics-ceu
Materials for a short introductory/intermediate Data Science course taught in the MSc in Business Analytics program at the Central European University
Last synced: 12 Oct 2024
https://github.com/szilard/xgboost-adv-workshop-la
Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
Last synced: 28 Oct 2024
https://github.com/szilard/gbm-tune
Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
gbm gradient-boosting-machine hyperparameter-optimization machine-learning overfitting
Last synced: 12 Oct 2024
https://github.com/szilard/teach-ml-ceu-master-bizanalytics
Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics
Last synced: 12 Oct 2024
https://github.com/szilard/teach-ML-CEU-master-bizanalytics
Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics
Last synced: 25 Oct 2024
https://github.com/szilard/gbm-multicore
GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems
Last synced: 12 Oct 2024
https://github.com/szilard/ml-scoring
Compare the scoring speed of several open source machine learning libraries.
Last synced: 12 Oct 2024
https://github.com/szilard/datascience-latency
Latency numbers every data scientist should know (aka the pyramid of analytical tasks) - the order of magnitude of computational time for the most common analytical tasks (SQL-like data munging, linear and non-linear supervised learning etc.) with the typically available tools on commodity hardware.
Last synced: 12 Oct 2024
https://github.com/szilard/gbm-intro
GBM intro talk (with R and Python code)
Last synced: 12 Oct 2024
https://github.com/szilard/dataset-sizes-kdnuggets
Size of datasets used for analytics based on 10 years of surveys by KDnuggets.
Last synced: 12 Oct 2024
https://github.com/szilard/talks-main
Most recent/important talks given at conferences/meetups
Last synced: 12 Oct 2024
https://github.com/szilard/gbm-adv-workshop-bp19
Advanced GBM Workshop - Budapest, Nov 2019
Last synced: 12 Oct 2024
https://github.com/szilard/kaggle-scripts-r-pydata
Kaggle scripts: R vs pydata + most popular R and Python packages for Machine Learning
Last synced: 12 Oct 2024
https://github.com/szilard/datascience-course-historical
Inspired by David Donoho's "50 Years of Data Science" (2015) paper, I'm releasing here a course proposal draft I wrote in 2009 for a possible course of "data science".
Last synced: 12 Oct 2024
https://github.com/szilard/dscomp-winstab
Winner stability in data science competitions
Last synced: 12 Oct 2024
https://github.com/szilard/ml-algos-perf
Performance of Machine Learning Algorithms - playground for experimentation in order to understand their performance characteristics as a function of the attributes of the datasets used for training
Last synced: 12 Oct 2024
https://github.com/szilard/gbm-workshop
Code (and other materials) for an introductory talk/workshop on GBMs (developed originally for an R-Ladies Meetup)
Last synced: 12 Oct 2024
https://github.com/szilard/ds_meetups
Contents from the Real Data Science USA (formerly LA Data Science) Meetup
Last synced: 12 Oct 2024
https://github.com/szilard/h2o-scoring--old
Various options for deploying h2o.ai models to production (scoring new data)
Last synced: 12 Oct 2024
https://github.com/szilard/ml-x1
Machine learning tools on monster EC2 X1 instance (128 cores, 2 TB RAM)
Last synced: 12 Oct 2024
https://github.com/szilard/gbm-meltdown
The Effect of the Linux Kernel Page-Table Isolation (KPTI) Patch (Meltdown Vulnerability) on GBMs
gbm h2o kpti lightgbm linux-kernel machine-learning meltdown xgboost
Last synced: 12 Oct 2024
https://github.com/szilard/bio
Szilard Pafka's short bio (to go with conference talk abstracts)
Last synced: 12 Oct 2024
https://github.com/szilard/mlprod-1slide
Machine Learning in Production in 1 Slide
Last synced: 12 Oct 2024
https://github.com/szilard/bigdatadayla2015-datascience
List of talks from the Data Science Track of Big Data Day LA 2015 (annual free conference)
Last synced: 12 Oct 2024
https://github.com/szilard/student-data-science-project-3
Sample student project for the Data Science course I was teaching at CEU's MSc in Business Analytics https://github.com/szilard/teach-data-science-msc-analytics-ceu
Last synced: 12 Oct 2024
https://github.com/szilard/benchm-ml--data
Data for benchm-ml, gbm-perf etc. (samples from the airline dataset)
Last synced: 12 Oct 2024