6755 Open source projects that are alternatives of or similar to Mlkatas

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

For extensive instructor led learning

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Alpine Container for Machine Learning

notebooks with example for machine learning examples

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Credit Risk analysis by using Python and ML

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

A collection of notebooks of my Machine Learning class written in python 3

📚 Various cheatsheets in PDF

📓 deepleaning and cv notes.

機器學習: Python

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

A workshop for scientific computing in Python. ( December 2017 )

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

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.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

中文 Python 笔记

python教程，包括：python基础、python进阶；常用机器学习库：numpy、scipy、sklearn、xgboost；深度学习库：keras、tensorflow、paddle、pytorch。

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Practice your pandas skills!

Project for Digital Image Processing

Grokking Deep Reinforcement Learning

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

Jupyter notebooks from the scikit-learn video series

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

Python notes in Turkish.

Wavelet scattering transforms in Python with GPU acceleration

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.

Python package for Bayesian Machine Learning with scikit-learn API

The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

My blogs and code for machine learning. http://cnblogs.com/pinard

PyBites Code Challenges

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

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

A Python implementation of Sky Region Detection in a Single Image for Autonomous Ground Robot Navigation (Shen and Wang, 2013)

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'

Machine learning algorithms implemented by pure numpy

Association Rule Mining from Spatial Data for Crime Analysis

A temporal music synthesizer

brief introduction to Python for machine learning

Predicting forex binary options using time series data and machine learning

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

An Interactive Approach to Understanding Deep Learning with Keras

Open Machine Learning Course

My solution to the book A Collection of Data Science Take-Home Challenges

Code for polyaxon tutorials and examples

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course