ainaadekunle

ainaadekunle's Stars

• eugeneyan/ml-surveys

  📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

  2.8k290

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.3k3.7k

• google-deepmind/alphafold

  Open source code for AlphaFold 2.

  Language:Python12.7k2.3k

• npschafer/openawsem

  An implementation of the AWSEM coarse-grained protein folding forcefield in OpenMM

  Language:Python3523

• csev/py4e

  Web site for www.py4e.com and source to the Python 3.0 textbook

  Language:JavaScript2.9k1.8k

• viveksck/langchangetrack

  Package for Statistically significant linguistic change

  Language:Python5226

• tkrabel/bamboolib

  bamboolib - a GUI for pandas DataFrames

  Language:Jupyter Notebook93994

• srivatsan88/TPOT

  TPOT Sample

  Language:Jupyter Notebook2711

• ainaadekunle/ml-road

  Machine Learning Resources, Practice and Research

  Language:Python1

• GokuMohandas/Made-With-ML

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

  Language:Jupyter Notebook37.6k6k

• ehmatthes/intro_programming

  A set of IPython notebooks and learning resources for an Introduction to Programming class, focusing on Python.

  Language:Jupyter Notebook397197

• phelps-sg/python-bigdata

  Data science and Big Data with Python

  Language:Jupyter Notebook132166

• pwharrison/modern-nlp-in-python

  Language:Jupyter Notebook376224

• llSourcell/Learn_Data_Science_in_3_Months

  This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube

  2.7k977

• UBC-MDS/public

  Public documents for the Master of Data Science program at the University of British Columbia

  21971

• spillz/codeblocks-python

  Python Plugins for the Code::Blocks IDE

  Language:C++6637

• voila-dashboards/voila

  Voilà turns Jupyter notebooks into standalone web applications

  Language:Python5.5k504

• mscaudill/IntroStatLearn

  Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.

  Language:Jupyter Notebook10566

• JWarmenhoven/ISLR-python

  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

  Language:Jupyter Notebook4.3k2.4k

• eka-foundation/numerical-computing-is-fun

  Learning numerical computing with notebooks for all ages.

  Language:Jupyter Notebook765115

• jupyter/jupyter

  Jupyter metapackage for installation, docs and chat

  Language:Python14.9k4.1k

• AllenDowney/ThinkStats2

  Text and supporting code for Think Stats, 2nd Edition

  Language:Jupyter Notebook4k11.3k

• razoumov/publish

  Language:HTML3333

• schrodinger/pymol-open-source

  Open-source foundation of the user-sponsored PyMOL molecular visualization system.

  Language:C1.2k281

• clauswilke/PeptideBuilder

  A simple Python library to generate model peptides

  Language:Python7930

• kb22/Heart-Disease-Prediction

  The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.

  Language:Jupyter Notebook228183

• yanshengjia/ml-road

  Machine Learning Resources, Practice and Research

  Language:Python3.4k1.3k

• carykh/jumpcutter

  Automatically edits vidx. Explanation here: https://www.youtube.com/watch?v=DQ8orIurGxw

  Language:Python3.1k541

• alexcouper/bash

  Run bash commands from python

  Language:Python8117

• dseeliger/pmx

  Toolkit for free-energy calculation setup/analysis and biomolecular structure handling

  Language:Python5769