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

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

Spying using Smartwatch and Deep Learning

Concise deep learning for JAX

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

RadIO is a library for data science research of computed tomography imaging

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Applying Data Science and Machine Learning to Solve Real World Business Problems

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

Curated list of Python resources for data science.

A repo for data science related questions and answers

Julia port of the Python autograd package.

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

A curated list of awesome Distributed Deep Learning resources.

Human-explainable AI.

📚 An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.

🏖TagEditor - Annotation tool for spaCy

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

A Java Toolbox for Scalable Probabilistic Machine Learning

Deep Learning for humans

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

This is the companion curriculum to my guide to becoming a data scientist.

How to use TensorLayer

💫 Industrial-strength Natural Language Processing (NLP) in Python

Teaching Materials for Dr. Waleed A. Yousef

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

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

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"

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

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Support content for my blog

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

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

scikit-learn: machine learning in Python

Machine Learning in R

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

Learn to Build a Machine Learning Application from Top Articles

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

Computations and statistics on manifolds with geometric structures.

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

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

Keras community contributions

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

Machine Learning for High Energy Physics.

A toolbox for processing and analysing air traffic data

🔶 Unleash your Potential!