1578 Open source projects that are alternatives of or similar to Uncertainty Metrics

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

A simple probabilistic programming language.

Probabilistic reasoning and statistical analysis in TensorFlow

High-quality implementations of standard and SOTA methods on a variety of tasks.

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 ;)

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

A Python package for building Bayesian models with TensorFlow or PyTorch

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

Probably the best curated list of data science software in Python.

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.

Python library to easily log experiments and parallelize hyperparameter search for neural networks

pyclustring is a Python, C++ data mining library.

Learn Julia the hard way!

A Julia machine learning framework

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

A resource list for causality in statistics, data science and physics

Lifetime value in Python

USC urban data science course series with Python and Jupyter

Carefully curated resource links for data science in one place

🍧 A repository that contains courses I have taken on DataCamp

Deep Learning Toolkit for Medical Image Analysis

Pharmaceutical Modeling and Simulation for Nonlinear Mixed Effects (NLME), Quantiative Systems Pharmacology (QsP), Physiologically-Based Pharmacokinetics (PBPK) models mixed with machine learning

IPython widgets, interactive plots, interactive machine learning

🏖TagEditor - Annotation tool for spaCy

Statistical Machine Intelligence & Learning Engine

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Code and other material for the book "Deep Learning and the Game of Go"

📝 Подборка ресурсов по машинному обучению

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

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

Support content for my blog

A repo for data science related questions and answers

Analyze facebook copy of your data with ruby language. Download zip file from facebook and get info about friends ranking by message, vocabulary, contacts, friends added statistics and more

Create HTML profiling reports from pandas DataFrame objects

A Dynamic Web Toolbox for Interactive Data Processing, Analysis, and Visualization

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Scripts + data to recreate analyses published on http://benjaminlmoore.wordpress.com and http://blm.io

Multi-class confusion matrix library in Python

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

An open-source platform for automating tasks using machine learning models

R package to interface with OpenML

eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.

Koç University deep learning framework.

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

Machine Learning in R

Datasets, tools, and benchmarks for representation learning of code.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Visualize and compare datasets, target values and associations, with one line of code.

scikit-learn: machine learning in Python

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction

Learn to Build a Machine Learning Application from Top Articles

Keras community contributions

A comprehensive, accessible database that contains records of over 260k US gun violence incidents from January 2013 to March 2018.

Survival analysis in Python

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

Computations and statistics on manifolds with geometric structures.

Measure and visualize machine learning model performance without the usual boilerplate.