Alternatives and similar repositories for COMP6248

Users that are interested in COMP6248 are comparing it to the libraries listed below

• Machine-Learning-Tokyo / CNN-Architectures
  ☆504Updated last year
• FrancescoSaverioZuppichini / Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDict
  Code for my medium article
  ☆372Updated 4 years ago
• FrancescoSaverioZuppichini / PyTorch-Deep-Learning-Template
  A Pytorch Computer Vision template to quick start your next project! 🚀🚀
  ☆355Updated last year
• Paperspace / PyTorch-101-Tutorial-Series
  PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.
  ☆265Updated 5 years ago
• tdgunes / ExampleAgent
  ExampleAgent for Intelligent Systems Module in UoS COMP2208
  ☆22Updated 6 years ago
• kevinzakka / pytorch-goodies
  PyTorch Boilerplate For Research
  ☆607Updated 3 years ago
• yassouali / ML-paper-notes
  Notes and summaries of various ML, Computer Vision & NLP papers.
  ☆562Updated 3 years ago
• skrish13 / ml-contests-conf
  ML and DL related contests, competitions and conference challenges.
  ☆614Updated 2 years ago
• rll / deepul
  ☆814Updated 4 months ago
• FrancescoSaverioZuppichini / ResNet
  Clean, scalable and easy to use ResNet implementation in Pytorch
  ☆212Updated 5 years ago
• davidtvs / pytorch-lr-finder
  A learning rate range test implementation in PyTorch
  ☆980Updated 2 months ago
• MisaOgura / flashtorch
  Visualization toolkit for neural networks in PyTorch! Demo -->
  ☆742Updated last year
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆672Updated 2 years ago
• paraschopra / bayesian-neural-network-mnist
  Bayesian neural network using Pyro and PyTorch on MNIST dataset
  ☆314Updated 6 years ago
• sgrvinod / Deep-Tutorials-for-PyTorch
  In-depth tutorials for implementing deep learning models on your own with PyTorch.
  ☆1,549Updated last year
• utkuozbulak / pytorch-custom-dataset-examples
  Some custom dataset examples for PyTorch
  ☆869Updated 5 years ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆574Updated 5 years ago
• The-AI-Summer / self-attention-cv
  Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
  ☆1,210Updated 3 years ago
• enggen / DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning
  Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
  ☆841Updated 6 years ago
• wkentaro / pytorch-for-numpy-users
  PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com
  ☆706Updated 2 years ago
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆577Updated 2 years ago
• cezannec / capsule_net_pytorch
  Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]
  ☆373Updated 5 years ago
• omerbsezer / Fast-Pytorch
  Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
  ☆432Updated 6 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆831Updated 5 years ago
• Lightning-AI / deep-learning-project-template
  Pytorch Lightning code guideline for conferences
  ☆1,279Updated last year
• PacktPublishing / Deep-Learning-with-PyTorch
  Deep Learning with PyTorch, published by Packt
  ☆461Updated 2 years ago
• ritchieng / deep-learning-wizard
  Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
  ☆856Updated 2 months ago
• szymonmaszke / torchlayers
  Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
  ☆572Updated 3 years ago
• parrt / tensor-sensor
  The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflo…
  ☆811Updated 3 years ago
• haven-ai / haven-ai
  To Run, Manage and Visualize Large Scale Experiments
  ☆172Updated last year