Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
☆2,555Jul 25, 2022Updated 3 years ago
Alternatives and similar repositories for prml
Users that are interested in prml are comparing it to the libraries listed below
Sorting:
- PRML algorithms implemented in Python☆11,720Apr 5, 2025Updated 10 months ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆7,017Updated this week
- Python implementations (on jupyter notebook) of algorithms described in the book "PRML"☆259Jun 2, 2021Updated 4 years ago
- learning fomula☆296Jul 24, 2021Updated 4 years ago
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,506Dec 10, 2025Updated 2 months ago
- Collection of machine learning research paper references☆26Feb 23, 2025Updated last year
- My Own Solution Manual of PRML☆1,005Apr 5, 2021Updated 4 years ago
- Pattern Recognition And Machine Learning 相关的学习资源☆155Aug 15, 2019Updated 6 years ago
- PRML notes, proofs and algorithms implemented in Python☆41Feb 1, 2026Updated 3 weeks ago
- ☆14Jul 2, 2019Updated 6 years ago
- Matlab code of machine learning algorithms in book PRML☆6,203Mar 4, 2020Updated 5 years ago
- ☆42May 20, 2020Updated 5 years ago
- ☆252Dec 27, 2022Updated 3 years ago
- 《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。☆642Jan 18, 2026Updated last month
- Run fully connected artificial neural networks with dropout applied (mini)batchwise, rather than samplewise. Given two hidden layers each…☆15May 18, 2015Updated 10 years ago
- A library for evaluating representations.☆77Nov 21, 2021Updated 4 years ago
- A lightweight experimental logging library☆52Dec 23, 2025Updated 2 months ago
- Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.☆80Feb 16, 2021Updated 5 years ago
- Estimating Example Difficulty using Variance of Gradients☆64Jan 10, 2023Updated 3 years ago
- ☆112Aug 6, 2024Updated last year
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆28,231Aug 18, 2024Updated last year
- 🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, fee…☆65,830Jan 22, 2026Updated last month
- NYU Deep Learning Spring 2020☆6,788Jun 16, 2025Updated 8 months ago
- [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)☆107Dec 19, 2022Updated 3 years ago
- My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义…☆9,591Jan 11, 2026Updated last month
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆36,397Updated this week
- PyTorch Tutorial for Deep Learning Researchers☆32,199Aug 15, 2023Updated 2 years ago
- The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。☆2,706Dec 30, 2025Updated 2 months ago
- Companion webpage to the book "Mathematics For Machine Learning"☆15,069Mar 13, 2025Updated 11 months ago
- 《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。☆1,668Feb 13, 2026Updated 2 weeks ago
- Machine learning, in numpy☆16,276Oct 29, 2023Updated 2 years ago
- There and Back Again: Revisiting Backpropagation Saliency Methods (CVPR 2020)☆53Apr 7, 2020Updated 5 years ago
- ☆828Apr 10, 2025Updated 10 months ago
- PyTorch Implementation of OpenAI GPT☆128Jun 28, 2023Updated 2 years ago
- 手写实现李航《统计学习方法》书中全部算法☆11,584Nov 25, 2025Updated 3 months ago
- 《统计学习方法》的代码实现☆19,546Aug 22, 2023Updated 2 years ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,401Feb 20, 2026Updated last week
- Graph Neural Network Library for PyTorch☆23,498Feb 19, 2026Updated last week
- This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.☆2,476Sep 23, 2024Updated last year