231 Open source projects that are alternatives of or similar to gospn

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers

A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

Python implementations of GRAPPA-like algorithms.

Courses, Articles and many more which can help beginners or professionals.

A unifying Matlab framework for the development of reconstruction algorithms (solving inverse problems) in computational imaging

Mathematical finance cheat sheet.

MLSS 2016 material.

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MiraPy: A Python package for Deep Learning in Astronomy

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This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

Library for decoding obscure graphics formats, such as Targa (.TGA), Sun raster (.RAS, .SUN), ZSoft (.PCX), Netpbm (.PPM, .PGM, .PBM, .PNM), Amiga (LBM, PIC), SGI, MacPaint, and DICOM.

📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference.

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

📙 The probability and statistics cookbook

Tools for an Aesara-based PPL.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

A Python package for approximate Bayesian inference and optimization using Gaussian processes

The basic distribution probability Tutorial for Deep Learning Researchers

RidgeRun Inference Framework

Algorithm is a library of tools that is used to create intelligent applications.

Graphsignal Python agent

Collection of popular and reproducible image denoising works.

Teaching Materials for Dr. Waleed A. Yousef

JSON schema validator

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

Code and Notes for fat-tailed statistics.

Sum-Product Network learning routines in python

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

pbm, pgm, ppm image IO for modern C++ (single header only library)

Learn mathematics behind machine learning and explore different mathematics in machine learning.

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

A package for AFM image reconstruction and compressed sensing in general

Generate realizations of stochastic processes in python.

Sparse matrix formats for linear algebra supporting scientific and machine learning applications

Quantitative Interview Preparation Guide, updated version here ==>

A Python toolkit for (simulation-based) inference and the mechanization of science.

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra

The purpose of this project is to apply mediapipe to more AI chips.

Probabilistic deep learning for data streams.

Inference Model Manager for Kubernetes

Probabilistic Programming and Statistical Inference in PyTorch

[This project has moved to ChainerCV] Chainer Implementation of Fully Convolutional Instance-aware Semantic Segmentation

⏱ Benchmarks of machine learning inference for Go

Diffusive Nested Sampling

Collection of data sets of molecules for a validation of properties inference

📈 Regression and Classification with UC Davis student quiz data and exam data

Detect various irregularities of a product as it moves along a conveyor belt.

📖 [译] 面向数据科学的概率论

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

The challenge projects for Inferencing machine learning models on iOS

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

IGoR is a C++ software designed to infer V(D)J recombination related processes from sequencing data. Find full documentation at:

Fluent Random Picker is a nice, performant, fluent way to pick random values. Probabilities can be specified, values can be weighted.

📃Language Model based sentences scoring library

🔥 PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. 🔥 图像翻译，条件GAN，AI绘画