Alternatives and similar repositories for PRML

Users that are interested in PRML are comparing it to the libraries listed below

• PRML / PRMLT
  Matlab code of machine learning algorithms in book PRML
  ☆6,178Updated 5 years ago
• dsgiitr / d2l-pytorch
  This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
  ☆4,332Updated last year
• ddbourgin / numpy-ml
  Machine learning, in numpy
  ☆16,200Updated 2 years ago
• graykode / distribution-is-all-you-need
  The basic distribution probability Tutorial for Deep Learning Researchers
  ☆1,640Updated 5 years ago
• rasbt / deeplearning-models
  A collection of various deep learning architectures, models, and tips
  ☆17,298Updated last year
• jcjohnson / pytorch-examples
  Simple examples to introduce PyTorch
  ☆4,845Updated 3 years ago
• Atcold / NYU-DLSP20
  NYU Deep Learning Spring 2020
  ☆6,776Updated 5 months ago
• bharathgs / Awesome-pytorch-list
  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
  ☆16,269Updated last year
• pytorch / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆23,574Updated 2 months ago
• MorvanZhou / PyTorch-Tutorial
  Build your neural network easy and fast, 莫烦Python中文教学
  ☆8,417Updated 2 years ago
• probml / pyprobml
  Python code for "Probabilistic Machine learning" book by Kevin Murphy
  ☆6,950Updated 2 months ago
• ShangtongZhang / reinforcement-learning-an-introduction
  Python Implementation of Reinforcement Learning: An Introduction
  ☆14,430Updated last year
• Luolc / AdaBound
  An optimizer that trains as fast as Adam and as good as SGD.
  ☆2,911Updated 2 years ago
• gerdm / prml
  Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
  ☆2,490Updated 3 years ago
• shuhuai007 / Machine-Learning-Session
  ☆5,218Updated 5 years ago
• pytorch / tutorials
  PyTorch tutorials.
  ☆8,902Updated this week
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆999Updated 4 years ago
• HarisIqbal88 / PlotNeuralNet
  Latex code for making neural networks diagrams
  ☆24,120Updated 2 years ago
• SmirkCao / Lihang
  Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
  ☆6,248Updated 2 years ago
• chiphuyen / stanford-tensorflow-tutorials
  This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
  ☆10,375Updated 4 years ago
• terryum / awesome-deep-learning-papers
  The most cited deep learning papers
  ☆26,053Updated last year
• jindongwang / transferlearning-tutorial
  《迁移学习简明手册》LaTex源码
  ☆2,535Updated 2 years ago
• szcf-weiya / ESL-CN
  The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
  ☆2,650Updated 2 months ago
• lanpa / tensorboardX
  tensorboard for pytorch (and chainer, mxnet, numpy, ...)
  ☆7,978Updated 3 weeks ago
• floodsung / Deep-Learning-Papers-Reading-Roadmap
  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
  ☆39,369Updated 3 years ago
• RedditSota / state-of-the-art-result-for-machine-learning-problems
  This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to …
  ☆8,929Updated 6 years ago
• tensorlayer / TensorLayer
  Deep Learning and Reinforcement Learning Library for Scientists and Engineers
  ☆7,378Updated 2 years ago
• dennybritz / reinforcement-learning
  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…
  ☆21,724Updated 2 years ago
• roboticcam / machine-learning-notes
  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…
  ☆8,746Updated last year
• hindupuravinash / the-gan-zoo
  A list of all named GANs!
  ☆14,670Updated 2 years ago