anton4i Goto Github PK

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

auto-py-to-exe

Converts .py to .exe using a simple graphical interface

awesome-deep-learning

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

awesome-machine-learning

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

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

cifar10-fast

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

data-analysis

Data Analysis Using Python

data-engineering-howto

A list of useful resources to learn Data Engineering from scratch

data-science-ipython-notebooks

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, AWS, and various command lines.

deep-learning-with-csharp-and-cntk

deep-learning-world

:satellite: Organized Resources for Deep Learning Researchers and Developers

dlab

Self-service, Fail-safe Exploratory Environment for Collaborative Data Science Workflow

easy-tensorflow

Simple and comprehensive tutorials in TensorFlow

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

forecastonishing

An adaptive selector for short-term forecasting of multiple time series. For each time series, it finds the best method from a pool of candidates based on their past performance.

interpret

Fit interpretable models. Explain blackbox machine learning.

jupyter

Jupyter metapackage for installation, docs and chat

kaggler

Code for Kaggle Data Science Competitions

m4-methods

Includes the source code of the methods which participated in the M4 Competition

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

magi

:chart_with_upwards_trend: high level wrapper for parallel univariate time series forecasting :chart_with_downwards_trend:

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mdn

Mixture Density Networks