My solutions to Kevin Murphy Machine Learning Book
☆539Aug 11, 2020Updated 6 years ago
Alternatives and similar repositories for Machine-Learning-A-Probabilistic-Perspective-Solutions
Users that are interested in Machine-Learning-A-Probabilistic-Perspective-Solutions are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Solutions to "Machine Learning: A Probabilistic Perspective"☆162Mar 24, 2021Updated 5 years ago
- Complete solutions for exercises and MATLAB example codes for "Machine Learning: A Probabilistic Perspective" 1/e by K. Murphy☆246Aug 3, 2020Updated 6 years ago
- Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective☆53Jul 13, 2017Updated 9 years ago
- Probabilistic Modeling Toolkit for Matlab/Octave.☆1,569Jun 23, 2021Updated 5 years ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆7,169Feb 26, 2026Updated 7 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Experiments from "The Description Length of Deep Learning Models"☆10Aug 1, 2018Updated 8 years ago
- My Own Solution Manual of PRML☆1,017Apr 5, 2021Updated 5 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,846Mar 18, 2024Updated 2 years ago
- Topics course Mathematics of Deep Learning, NYU, Spring 18☆549Apr 4, 2023Updated 3 years ago
- PRML algorithms implemented in Python☆11,735Apr 5, 2025Updated last year
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Feb 15, 2016Updated 10 years ago
- A Chinese Notes of MLAPP,MLAPP 中文笔记项目 https://zhuanlan.zhihu.com/python-kivy☆360Mar 8, 2021Updated 5 years ago
- Super-Machine-Learning-Revision-Notes☆76Oct 25, 2019Updated 6 years ago
- Course notes for CS228: Probabilistic Graphical Models.☆2,014Jun 24, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This repository contains all the material for the MLTrain NIPS workshop☆240Dec 17, 2017Updated 8 years ago
- Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)☆1,193Apr 24, 2024Updated 2 years ago
- Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.☆7,491Mar 24, 2024Updated 2 years ago
- RNN Approaches to Integer Sequence Learning--the famous Kaggle competition☆26Feb 5, 2017Updated 9 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆14,784Aug 9, 2024Updated 2 years ago
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,694Dec 10, 2025Updated 10 months ago
- Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"☆5,085Jan 31, 2023Updated 3 years ago
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,374Dec 22, 2020Updated 5 years ago
- A collection of MATLAB data sets used by PMTK.☆56Jan 7, 2014Updated 12 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Machine learning problems☆22Sep 14, 2025Updated last year
- The most cited deep learning papers☆26,197Jan 18, 2024Updated 2 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆283Mar 15, 2019Updated 7 years ago
- A curated list of resources dedicated to bayesian deep learning☆416May 10, 2017Updated 9 years ago
- Fused Matrix Library☆23Jan 9, 2022Updated 4 years ago
- PyTorch Flexible Hash Embeddings☆29Feb 4, 2020Updated 6 years ago
- Solutions to homework problems in Bain and Engelhardt's Introduction to Probability and Mathematical Statistics.☆15Dec 7, 2014Updated 11 years ago
- ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation☆25Oct 2, 2020Updated 6 years ago
- Statistical Learning Theory (CS229T) Lecture Notes☆723Nov 10, 2019Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆23Feb 20, 2018Updated 8 years ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆11,005Apr 16, 2024Updated 2 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆67Apr 29, 2019Updated 7 years ago
- ☆15Dec 8, 2022Updated 3 years ago
- starter from "How to Train a GAN?" at NIPS2016☆11,618Jan 9, 2022Updated 4 years ago
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆22,155Jul 13, 2023Updated 3 years ago
- MATLAB implementation of our shadow detection approach, introduced in our ECCV 2010 paper.☆37May 17, 2013Updated 13 years ago