6692 Open source projects that are alternatives of or similar to Teaching Monolith

I will update this repository to learn Machine learning with python with statistics content and materials

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

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

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

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

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 ;)

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

Create HTML profiling reports from pandas DataFrame objects

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 book about machine learning, statistics, and data mining for heliophysics

Notes for Deep Learning Specialization Courses led by Andrew Ng.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.

Code, exercises and tutorials of my personal blog ! 📝

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

My Blog

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

Project for Digital Image Processing

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🍧 A repository that contains courses I have taken on DataCamp

Data Reading Blocks for Python

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Credit Risk analysis by using Python and ML

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Computations and statistics on manifolds with geometric structures.

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

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

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

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

中文 Python 笔记

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

Machine learning algorithms implemented by pure numpy

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.

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

Notebooks of Python and R code which illustrates basic causal inference using simulated data

Alpine Container for Machine Learning

A temporal music synthesizer

A Julia machine learning framework

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.

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

Porting the R code in ISL to python. Labs and exercises

Deep Learning From Scratch

Numerical & Scientific Computing with Python Tutorial

R package to interface with OpenML

Source material for Python Like You Mean it

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

For extensive instructor led learning

A collection of all projects pertaining to different layers in the SDC software stack

A Box detection algorithm for any image containing boxes.

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

Data science and Big Data with Python

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

Simple neural networks based only on Numpy

The repository provides usefull python scripts for ML and data analysis

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

A simple probabilistic programming language.

notebooks with example for machine learning examples