dmitryaleks Goto Github PK

algo-plex

Cryptocurrency trading framework

bookshelf

cache

Distributed cache with monitoring

cnn_ocr

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

django

Django web server

dotnets

Create simple drawings of neural networks using graphviz

fedora-tips

Tips, tricks and shortcuts for Fedora Linux

gdbgui

A modern, browser-based frontend to gdb (gnu debugger). Add breakpoints, view stack traces, and more in C, C++, Go, and Rust! Simply run gdbgui from the terminal and a new tab will open in your browser.

guava

Google Core Libraries for Java 6+

hands-on-ml

Notes and code snippets based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow"

inkpot

Inkpot 88/256 Colour Scheme for Vim

kaggle

Kaggle challenges

keras

Deep Learning for humans

keras-mnist-tutorial

For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.

keras-vis

Neural network visualization toolkit for keras

keras_deep_clustering

How to do Unsupervised Clustering with Keras

laika

Text Markup Transformer for sbt and Scala applications, transforming Markdown and reStructuredText to HTML and PDF

learning-scalaz

log-stream

A simple real-time log stream server and client built out of GNU tools

machine-learning

Machine Learning

math_models

Playground for trivial models

ml-trading

Machine Learning for Algo Trading

models

Models and examples built with TensorFlow

orderrepository

packages

Python packages

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

python-data-science

Notes on "Python Data Science Handbook"

rcfiles

My rc files

react