scikit-learn: machine learning in Python

Computation using data flow graphs for scalable machine learning

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

A curated list of awesome Machine Learning frameworks, libraries and software.

Caffe: a fast open framework for deep learning.

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

A curated list of awesome R packages, frameworks and software.

Notebooks and code for the book "Introduction to Machine Learning with Python"

pix2code: Generating Code from a Graphical User Interface Screenshot

📝 An awesome Data Science repository to learn and apply for real world problems.

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

A curated list of awesome Deep Learning tutorials, projects and communities.

Chunking Data techniques in Named Entity Recognition(NER) using NLP libraries and algorithms

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,…

Python bindings for MeTA

Free resources for learning data science

A book for the coursera statistical inference class

Multi-Omics Factor Analysis

Helpful resources for learning R

500 Lines or Less

Workflow for LC-MS feature analysis and spatial mapping

Deep Learning framework for Julia

Essential Cheat Sheets for deep learning and machine learning researchers

PyTorch Tutorial for Deep Learning Researchers

Simplex representation of molecular structure - a chemoinformatic tool for calculation of simplex descriptors

BECAUSE annotated corpus

Incubator for useful bioinformatics code, primarily in Python and R

a curated list of R tutorials for Data Science, NLP and Machine Learning