cinneesol Goto Github PK

adversarial-agent

algorithm-trading-webapp

Algorithm Trading web application with Python, Django, PyQt5 and Javascript

algorithms-notebooks

Algorithm's team Jupyter Notebooks

auto-sklearn

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-datascience

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

awesome-machine-learning

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

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-r

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

awesomeo

The really big list of really interesting open source projects in all С, C++, Lisp, Elixir, Erlang, Golang, Haskell, JS, Lua, OCaml, Python, R, Ruby, Rust, Scala, Shell and Swift.

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

bookdown

Authoring Books with R Markdown

ccw_tutorial_theano

Common Code Workflow tutorial on Theano

chainer

A flexible framework of neural networks for deep learning

connexion

Swagger/OpenAPI First framework for Python on top of Flask with automatic endpoint validation and OAuth2 support

conv-nets-series

A series of blog posts on convolutional neural networks and their generalizations.

cookbook-code

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

courses

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

cs231n.github.io

Public facing notes page

cse515t

Materials for Bayesian Methods in Machine Learning Course

dash

Interactive, reactive web apps in pure python :level_slider: :bar_chart:

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-science-blogs

A curated list of data science blogs

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data.table

R's data.table package extends data.frame. More info:

datasciencecoursera

Johns Hopkins Coursera Data Science Specialization

datasciencepython

common data analysis and machine learning tasks using python

datasciencer

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

datascienceresources

Open Source Data Science Resources.

datasharing

The Leek group guide to data sharing