Alternatives and similar repositories for MachineLearningModels

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

• JnchinZ / Prototypical-Networks-for-image-classification
  This is a very simple implementation for the NIPS 2017 paper Prototypical Networks for Few-shot Learning.
  ☆20Updated 4 years ago
• tsuirak / skills
  个人的技能树仓库，主要包含个人机器学习以及深度学习的笔记
  ☆372Updated 4 years ago
• moon-hotel / DeepLearningWithMe
  《跟我一起深度学习》@月来客栈 出品
  ☆237Updated 3 weeks ago
• DA-southampton / TRM_tutorial
  Transformer在CV和NLP领域的变体模型的从零解读：Transformer；VIT；Swin Transformer
  ☆337Updated 4 years ago
• jindongwang / tlbook-code
  Code for Transfer Learning book--《迁移学习导论》配套代码
  ☆313Updated 2 years ago
• ahangchen / torch_base
  Quickly bring up your PyTorch project(a skeleton)
  ☆743Updated 3 years ago
• miguealanmath / MAML-Pytorch
  Reproduce MAML in Pytorch with omniglot dataset.
  ☆106Updated 5 years ago
• wmn7 / ML_Practice
  ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html
  ☆237Updated 2 years ago
• Runist / torch_maml
  Very simple pytorch maml implement
  ☆129Updated 2 years ago
• tata1661 / FSL-Mate
  FSL-Mate: A collection of resources for few-shot learning (FSL).
  ☆1,765Updated 2 months ago
• Mikoto10032 / AutomaticWeightedLoss
  Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
  ☆642Updated 5 years ago
• qingyujean / Classification-on-imbalanced-data
  数据极度不均衡时的一个二分类实现，在weighted class，oversampling，focal loss等解决方式上进行了验证和对比；并对focal loss进行了调参
  ☆12Updated 5 years ago
• ZhugeKongan / torch-template-for-deep-learning
  Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common…
  ☆1,227Updated 3 years ago
• LiUzHiAn / VAE-Pytorch
  ☆65Updated 6 years ago
• kavinwow100 / Deeplearning-and-Coding
  学习深度学习不如边写代码边学习，实际操作一遍才能理解数据的变换过程，参数的训练过程，这里整合了B站的jupter代码，可以结合着B站的视频边看边练，希望能对大家有帮助。
  ☆138Updated 3 years ago
• liamlycoder / PyTorch_Primer
  一个关于pytorch的入门教程，该教程写于2018年，之后pytorch版本经过更新，部分代码需要更改，使用者请自行改之。
  ☆112Updated 7 years ago
• bojone / vae
  a simple vae and cvae from keras
  ☆1,378Updated 4 years ago
• fungtion / DANN_py3
  python 3 pytorch implementation of DANN
  ☆571Updated 3 years ago
• JansonYuan / Pytorch-Camp
  ☆374Updated 4 years ago
• easezyc / deep-transfer-learning
  A collection of implementations of deep domain adaptation algorithms
  ☆953Updated 3 years ago
• BraveY / AI-with-code
  AI学习过程中的实操代码
  ☆211Updated 5 years ago
• yechens / XiaoZhao-ChongChongChong
  机器学习算法，大厂面经，coding，算法比赛资源整合大礼包～助你校招乘风破浪！内容持续更新中，欢迎star🌟
  ☆218Updated 4 years ago
• dragen1860 / MAML-Pytorch
  Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
  ☆2,469Updated 6 years ago
• jakesnell / prototypical-networks
  Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
  ☆1,216Updated 4 years ago
• Duan-JM / awesome-papers-fewshot
  Collection for Few-shot Learning
  ☆995Updated 2 years ago
• MLNLP-World / Pytorch-Deep-Learning-Practice-Notes
  Pytorch-Deep-Learning-Practice-Notes
  ☆81Updated 3 years ago
• kangpeilun / Pytorch_Learning_Notes
  Pytorch_Learning_Notes
  ☆102Updated 10 months ago
• fendouai / pytorch1.0-cn
  PyTorch 1.0 官方文档 中文版，欢迎关注微信公众号：磐创AI
  ☆369Updated 6 years ago
• iBelieveCJM / pseudo_label-pytorch
  The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
  ☆343Updated 7 years ago
• jayparks / transformer
  A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"
  ☆574Updated 5 years ago