6882 Open source projects that are alternatives of or similar to Zigzag

A blog for data analytics using data science technologies

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Machine learning fundamentals lesson in interactive notebooks

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

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Curso de Data Science em Português

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

Compilation of R and Python programming codes on the Data Professor YouTube channel.

open source for wechat-official-account (ID: PyDataLab)

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

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experiments with python

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This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

阿水的数据竞赛开源分支

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

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repo for code published on pythondata.com

Griffon Data Science Virtual Machine

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“魔镜杯”风控算法大赛 拍拍贷风控模型，接近冠军分数

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This is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube

kaggle titanic solution

Second edition of Springer Book Python for Probability, Statistics, and Machine Learning

I used Machine Learning to make a Logistic Regression model using scikit-learn, pandas, numpy, seaborn and matplotlib to predict the results of FIFA 2018 World Cup.

Code and helper scripts for article on Medium "How Docker Can Help You Become A More Effective Data Scientist"

Reading notes on the excellent "Designing Data-Intensive Applications"

A lightweight convolutional neural network

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Object detection and segmentation for a surgery robot using Mask-RCNN on Python 3, Keras, and TensorFlow..

Books Papers, Courses & more I have to learn soon

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

Regularized Losses (rloss) for Weakly-supervised CNN Segmentation

Code for Nature energy manuscript

To make it easy to benchmark AI accelerators

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Fundamentals of Spark with Python (using PySpark), code examples

Time Series Cross-Validation -- an extension for scikit-learn

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

Links to Russian corpora + Python functions for loading and parsing

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

Important paper implementations for Question Answering using PyTorch

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This is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.

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