common data analysis and machine learning tasks using python

Summaries and notes on Deep Learning research papers

machine learning and deep learning tutorials, articles and other resources

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

This is the code for "Node JS Machine Learning" By Siraj Raval on Youtube

Minimal and Clean Reinforcement Learning Examples

🌎 machine learning tutorials (mainly in Python3)

Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

A course in reinforcement learning in the wild

References in a lecture series.

Some notes on machine learning algorithms, mostly in Matlab format.

🍻 awesome cheatsheet

A complete daily plan for studying to become a machine learning engineer.

Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.

Visual Machine Learning of Genome-Phenome Associations

A Curated List of Computational Biology Datasets Suitable for Machine Learning

The Leek group guide to data sharing

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

POC IDS anomaly detection engine built with iPython notebook, matplotlib, pandas, numpy, scikit-learn, d3.js, hyperloglog implementation, PYCON 2013 Intro and Advanced Machine Learning Tutorial Not…

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

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

R-CNN: Regions with Convolutional Neural Network Features

[ICCV 2015] Framework for optimizing CNNs with linear constraints for Semantic Segmentation

Interactive Image Generation via Generative Adversarial Networks

A curated awesome list of lists of interview questions. Feel free to contribute! 🎓

Presentation Ninja 幻灯忍者 · 写轮眼

A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support

Over 400 software engineering companies that are easy to apply to

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,…

Data Apps & Dashboards for Python. No JavaScript Required.