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30 search results found

Deep Learning Drizzle ⭐ 10,767

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Interviews.ai ⭐ 3,146

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

Turing.jl ⭐ 1,925

Bayesian inference with probabilistic programming.

Gpflow ⭐ 1,783

Gaussian processes in TensorFlow

Orbit ⭐ 1,776

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

Stats Maths With Python ⭐ 492

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

A probabilistic programming language

A Bayesian Analysis Toolkit in Julia

Paramonte ⭐ 112

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

Probflow ⭐ 108

A Python package for building Bayesian models with TensorFlow or PyTorch

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

Nautilus ⭐ 34

Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics

Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

Conditional Associative Logic Memory

Blangsdk ⭐ 22

Blang's software development kit

Optimisation Python ⭐ 18

A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.

Thunderbayesr ⭐ 15

An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.

Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression discontinuity designs)

Trilearn ⭐ 12

Bayesian structure learning and classification in decomposable graphical models.

Bayes_infotheory ⭐ 12

Lectures on Bayesian statistics and information theory

Text Sentiment Polarity Judgment ⭐ 11

基于规则、基于朴素贝叶斯、基于逻辑回归进行文本情感极性分析判断（酒店评论语料）

Ml Notes ⭐ 11

Machine learning

Fast Bayesian Hidden Markov Model with Wavelet Compression

Dcss_supplementary ⭐ 10

Supplementary materials for McLevey 2021 Doing Computational Social Science (Sage, UK).

Pythonbrmltoolbox ⭐ 10

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

Code and simulations using Biologically Annotated Neural Networks (BANNs)

The code for DirBN in NeurIPS 2018

Metric Gaussian Variational Inference

Mathematics For Machine Learning And Data Science Specialization ⭐ 5

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

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