My solutions to Kevin Murphy Machine Learning Book
☆540Aug 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
- Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective☆53Jul 13, 2017Updated 9 years ago
- Probabilistic Modeling Toolkit for Matlab/Octave.☆1,568Jun 23, 2021Updated 5 years ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆7,127Feb 26, 2026Updated 5 months ago
- Experiments from "The Description Length of Deep Learning Models"☆10Aug 1, 2018Updated 8 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,844Mar 18, 2024Updated 2 years ago
- My Own Solution Manual of PRML☆1,017Apr 5, 2021Updated 5 years ago
- PRML algorithms implemented in Python☆11,723Apr 5, 2025Updated last year
- Topics course Mathematics of Deep Learning, NYU, Spring 18☆548Apr 4, 2023Updated 3 years ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Feb 15, 2016Updated 10 years ago
- Super-Machine-Learning-Revision-Notes☆76Oct 25, 2019Updated 6 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
- Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)☆1,192Apr 24, 2024Updated 2 years ago
- Open access book on variational Bayesian methods written collaboratively☆28Apr 16, 2015Updated 11 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Course notes for CS228: Probabilistic Graphical Models.☆2,009Jun 24, 2025Updated last year
- RNN Approaches to Integer Sequence Learning--the famous Kaggle competition☆26Feb 5, 2017Updated 9 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆14,752Aug 9, 2024Updated 2 years ago
- Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.☆7,494Mar 24, 2024Updated 2 years ago
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,640Dec 10, 2025Updated 8 months ago
- This repository contains all the material for the MLTrain NIPS workshop☆239Dec 17, 2017Updated 8 years ago
- Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"☆5,079Jan 31, 2023Updated 3 years ago
- Machine learning problems☆20Sep 14, 2025Updated 11 months ago
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,370Dec 22, 2020Updated 5 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.
- The most cited deep learning papers☆26,178Jan 18, 2024Updated 2 years ago
- Fused Matrix Library☆23Jan 9, 2022Updated 4 years ago
- Solutions to homework problems in Bain and Engelhardt's Introduction to Probability and Mathematical Statistics.☆14Dec 7, 2014Updated 11 years ago
- ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation☆25Oct 2, 2020Updated 5 years ago
- Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".☆26Jun 8, 2016Updated 10 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
- A structured collection of notes (mostly, on machine learning) and a Flask app for reading and searching them.☆95May 4, 2026Updated 3 months ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,961Apr 16, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆22,110Jul 13, 2023Updated 3 years ago
- A curated list of resources dedicated to bayesian deep learning☆416May 10, 2017Updated 9 years ago
- Various tutorials given for welcoming new students at MILA.☆984Jun 27, 2018Updated 8 years ago
- Statistical Learning Theory (CS229T) Lecture Notes☆723Nov 10, 2019Updated 6 years ago
- starter from "How to Train a GAN?" at NIPS2016☆11,617Jan 9, 2022Updated 4 years ago
- ☆31Dec 13, 2017Updated 8 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆283Mar 15, 2019Updated 7 years ago