Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

Last update: Jan 08, 2023

Overview

Think Bayes 2

by Allen B. Downey

Think Bayes is an introduction to Bayesian statistics using computational methods.

Think Bayes is a Free Book. It is available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), which means that you are free to copy and modify it, as long as you attribute the work and don’t use it for commercial purposes.

Other Free Books by Allen Downey are available from Green Tea Press.

Run the notebooks

Download the notebooks as a Zip file

Or use these links to run the notebooks on Colab:

Owner

Allen Downey

Professor at Olin College, author of Think Python, Think Bayes, Think Stats, and other books. Blog author of Probably Overthinking It.

GitHub Repository http://allendowney.github.io/ThinkBayes2/

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Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

Related tags

Overview

Think Bayes 2

Run the notebooks

Owner

Allen Downey

This Repostory contains the pretrained DTLN-aec model for real-time acoustic echo cancellation.

Codes and models of NeurIPS2021 paper - DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks

PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.

Scale-aware Automatic Augmentation for Object Detection (CVPR 2021)

Causal Imitative Model for Autonomous Driving

A lightweight python AUTOmatic-arRAY library.

Byte-based multilingual transformer TTS for low-resource/few-shot language adaptation.

Metric learning algorithms in Python

The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color

(Py)TOD: Tensor-based Outlier Detection, A General GPU-Accelerated Framework

Single-stage Keypoint-based Category-level Object Pose Estimation from an RGB Image

The undersampled DWI image using Slice-Interleaved Diffusion Encoding (SIDE) method can be reconstructed by the UNet network.

The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.

Re-TACRED: Addressing Shortcomings of the TACRED Dataset

African language Speech Recognition - Speech-to-Text

Implementation of U-Net and SegNet for building segmentation

Open-Domain Question-Answering for COVID-19 and Other Emergent Domains

[CVPR2021 Oral] FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation.

Contrastive Language-Image Pretraining

A little software to generate and save Julia or Mandelbrot's Fractals.