MDHDZ91

MDHDZ91's Stars

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.3k1.2k735.9k

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Language:Python27.4k1.6k417.9k

• FavioVazquez/ds-cheatsheets

  List of Data Science Cheatsheets to rule the world

  14.6k537173.8k

• Nyandwi/machine_learning_complete

  A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

  Language:Jupyter Notebook4.6k845760

• patrickloeber/python-fun

  Some fun and useful projects with Python

  Language:Jupyter Notebook736349562

• weizhongli/cdhit

  Automatically exported from code.google.com/p/cdhit

  Language:Perl64128133129

• joey711/phyloseq

  phyloseq is a set of classes, wrappers, and tools (in R) to make it easier to import, store, and analyze phylogenetic sequencing data; and to reproducibly share that data and analysis with others. See the phyloseq front page:

  Language:R584541.6k187

• liamrevell/phytools

  Language:R2112114356

• argonne-lcf/ai-science-training-series

  Language:Jupyter Notebook205292597

• jbisanz/qiime2R

  Import qiime2 artifacts to R

  Language:HTML15675752

• earth-env-data-science/earth-env-data-science-book

  Source repo for Earth and Environmental Data Science book

  Language:Jupyter Notebook135102052

• meganmansfield/taylorswift

  A code to match you with the perfect Taylor Swift song for your mood and relationship status.

  Language:Python954016

• pyoceans/python-ctd

  Tools to load hydrographic data into pandas DataFrame

  Language:Python54133535

• Pierre-Sassoulas/pySankey

  This is the maintened version of PySankey (pySankeyBeta on Pypi)

  Language:Jupyter Notebook37498

• jcmcnch/eASV-pipeline-for-515Y-926R

  This is a collection of scripts for analyzing mixed 16S/18S amplicon sequences using tools such as qiime2, DADA2, deblur, and bbtools

  Language:Shell28378

• segrelab/MiCoNE

  The Microbial Co-occurrence Network Explorer

  Language:Python1921994

• McMahonLab/TaxAss

  16S taxonomy assignment using an ecosystem-specific database.

  Language:HTML153537

• NRT-DSEER/intro-programming-2021

  Material for the 2021 DSEER "Introduction to Scientific Computing" bootcamp

  Language:Jupyter Notebook110

• jdblischak/giladlab-midway-guide

  Guide to using RCC Midway

  6421

• NRT-DSEER/intro-programming-2022

  Python course for students with no coding experience

  Language:Jupyter Notebook6303

• rrohwer/limony

  lake itag measurements over nineteen years

  Language:R5100

• rcc-uchicago/Slurm_workshop_10142021

  Some explaination on what Slurm is

  Language:Shell31

• NRT-DSEER/demystifying-machine-learning-2022

  Language:Jupyter Notebook13