henarejosSinh's Stars
tschaffter/rstudio
Docker image for analyses using RStudio and Python-Conda
Bioconductor/bioconductor_docker
Docker Containers for Bioconductor
ialbert/bio
Making bioinformatics fun again
magorbe/Best-README-Template
An awesome README template to jumpstart your projects!
fluentpython/example-code-2e
Example code for Fluent Python, 2nd edition (O'Reilly 2022)
google/styleguide
Style guides for Google-originated open-source projects
gto76/python-cheatsheet
Comprehensive Python Cheatsheet
shervinea/stanford-cme-106-probability-and-statistics
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
wzchen/probability_cheatsheet
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
danielecook/Awesome-Bioinformatics
A curated list of awesome Bioinformatics libraries and software.
legolas140/competitive-data-science-1
How to Win a Data Science Competition: Learn from Top Kagglers
ArjanCodes/betterpython
Code examples for my Write Better Python Code series on YouTube.
66daysofdata/Resources
A list of resources to get you started in data science.
d0r1h/ML-University
Machine Learning Open Source University
PacktPublishing/Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits
The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to implementing supervised and unsupervised machine learning algorithms in Python by Tarek Amr
github/gitignore
A collection of useful .gitignore templates
CambridgeUniversityPress/FirstCourseNetworkScience
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
HeroKillerEver/coursera-deep-learning
Solutions to all quiz and all the programming assignments!!!
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
eugeneyan/ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
tartansandal/conda-bash-completion
Bash completion support for conda
Qian-Han/coursera-Applied-Data-Science-with-Python
Repository for coursera specialization Applied Data Science with Python by University of Michigan
crazyhottommy/ChIP-seq-analysis
ChIP-seq analysis notes from Ming Tang
salimt/Courses-
Answers for Quizzes & Assignments that I have taken
amberbiology/py4lifesci
Code repository for the book "Python for the Life Sciences" by Lancaster & Webster
CSB-book/CSB
Material for Computing Skills for Biologists
amueller/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media