nilesh-patil's Stars
ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
prakhar1989/awesome-courses
:books: List of awesome university courses for learning Computer Science!
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
terryum/awesome-deep-learning-papers
The most cited deep learning papers
shap/shap
A game theoretic approach to explain the output of any machine learning model.
recommenders-team/recommenders
Best Practices on Recommendation Systems
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
theanalyst/awesome-distributed-systems
A curated list to learn about distributed systems
timzhang642/3D-Machine-Learning
A resource repository for 3D machine learning
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020
sindresorhus/awesome-scifi
Sci-Fi worth consuming
aws/aws-sdk-pandas
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
life4/textdistance
📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
eugeneyan/ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
yenchenlin/awesome-adversarial-machine-learning
A curated list of awesome adversarial machine learning resources
jupyter-incubator/sparkmagic
Jupyter magics and kernels for working with remote Spark clusters
graphframes/graphframes
benjaminp/six
Python 2 and 3 compatibility library
dabl/dabl
Data Analysis Baseline Library
iml-wg/HEP-ML-Resources
Listing of useful learning resources for machine learning applications in high energy physics (HEPML)
maxpumperla/learning_ray
Notebooks for the O'Reilly book "Learning Ray"
setiQuest/ML4SETI
Machine Learning for SETI
AstroHackWeek/AstroHackWeek2017
Materials for the 2017 Astro Hack Week
ibm-watson-data-lab/seti_at_ibm
*Archived* - Introduction to Analyzing SETI Institute radio data using IBM Cloud database and analytic tools.
SpaceML/GalaxyGAN
davidwhogg/AstronomyChallenges