ctgk / PRML

Related projects: ⓘ

• rasbt / deeplearning-models
  A collection of various deep learning architectures, models, and tips
  ☆16,585Updated 7 months ago
• bharathgs / Awesome-pytorch-list
  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
  ☆15,313Updated 7 months ago
• pytorch / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆22,236Updated this week
• yunjey / pytorch-tutorial
  PyTorch Tutorial for Deep Learning Researchers
  ☆29,835Updated last year
• ddbourgin / numpy-ml
  Machine learning, in numpy
  ☆15,268Updated 10 months ago
• dsgiitr / d2l-pytorch
  This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
  ☆4,219Updated last month
• vdumoulin / conv_arithmetic
  A technical report on convolution arithmetic in the context of deep learning
  ☆13,967Updated last year
• cs231n / cs231n.github.io
  Public facing notes page
  ☆10,133Updated last month
• PRML / PRMLT
  Matlab code of machine learning algorithms in book PRML
  ☆6,004Updated 4 years ago
• jcjohnson / pytorch-examples
  Simple examples to introduce PyTorch
  ☆4,688Updated 2 years ago
• ShangtongZhang / reinforcement-learning-an-introduction
  Python Implementation of Reinforcement Learning: An Introduction
  ☆13,470Updated last month
• HarisIqbal88 / PlotNeuralNet
  Latex code for making neural networks diagrams
  ☆21,827Updated last year
• 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…
  ☆8,361Updated last year
• dennybritz / reinforcement-learning
  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…
  ☆20,412Updated last year
• MorvanZhou / PyTorch-Tutorial
  Build your neural network easy and fast, 莫烦Python中文教学
  ☆8,100Updated last year
• pytorch / tutorials
  PyTorch tutorials.
  ☆8,102Updated this week
• graykode / nlp-tutorial
  Natural Language Processing Tutorial for Deep Learning Researchers
  ☆14,070Updated 6 months ago
• ritchieng / the-incredible-pytorch
  The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
  ☆11,366Updated 3 months ago
• tensorflow / tensor2tensor
  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
  ☆15,324Updated last year
• thunlp / GNNPapers
  Must-read papers on graph neural networks (GNN)
  ☆15,871Updated 8 months ago
• hindupuravinash / the-gan-zoo
  A list of all named GANs!
  ☆14,216Updated 11 months ago
• terryum / awesome-deep-learning-papers
  The most cited deep learning papers
  ☆25,388Updated 8 months ago
• fchollet / deep-learning-with-python-notebooks
  Jupyter notebooks for the code samples of the book "Deep Learning with Python"
  ☆18,440Updated 2 months ago
• probml / pyprobml
  Python code for "Probabilistic Machine learning" book by Kevin Murphy
  ☆6,465Updated last month
• d2l-ai / d2l-en
  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …
  ☆23,170Updated last month
• floodsung / Deep-Learning-Papers-Reading-Roadmap
  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
  ☆37,950Updated last year
• afshinea / stanford-cs-229-machine-learning
  VIP cheatsheets for Stanford's CS 229 Machine Learning
  ☆17,463Updated 4 years ago
• lanpa / tensorboardX
  tensorboard for pytorch (and chainer, mxnet, numpy, ...)
  ☆7,852Updated 2 weeks ago
• deep-learning-with-pytorch / dlwpt-code
  Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
  ☆4,690Updated last month
• pytorch / vision
  Datasets, Transforms and Models specific to Computer Vision
  ☆15,992Updated this week