Alternatives and similar repositories for cs281-web

Users that are interested in cs281-web are comparing it to the libraries listed below

• fabianp / DSOML_2017
  ☆12Updated 8 years ago
• cranmer / poisson-convolution-sum
  Implements an infinite sum of poisson-weighted convolutions
  ☆26Updated 6 years ago
• zackchase / machine-learning-resources
  A (possibly/eventually annotated?) collection of resources (books, demos, lectures, etc) that I personally like for various topics in mac…
  ☆32Updated 6 years ago
• artix41 / AVO-pytorch
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Updated 6 years ago
• harvard-ml-courses / cs287-s18
  Public course repo
  ☆24Updated 6 years ago
• divelab / vqa-text
  ☆19Updated 6 years ago
• abursuc / dldiy-practicals
  Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS
  ☆21Updated 4 years ago
• arayabrain / FewshotClassifier
  Code for the blog post on few-shot classification via task representation and communication.
  ☆18Updated 8 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 6 years ago
• GokuMohandas / SELU
  🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.
  ☆12Updated 7 years ago
• shraman-rc / vae
  Fun with variational autoencoders.
  ☆11Updated 7 years ago
• AI-ON / deep-embedding
  Discovering deep embedding spaces for Psychiatric imaging
  ☆16Updated 7 years ago
• epfml / opt-shortcourse
  Short Course on Optimization for Machine Learning - Slides and Practical Lab - Pre-doc Summer School on Learning Systems, July 3 to 7, 20…
  ☆18Updated 7 years ago
• tdozat / Optimization
  ☆24Updated 8 years ago
• qureai / ultrasound-nerve-segmentation-using-torchnet
  Repository for tackling Kaggle Ultrasound Nerve Segmentation challenge using Torchnet.
  ☆48Updated 8 years ago
• kuleshov / cs228-notes
  Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)
  ☆30Updated 8 years ago
• DeepLearningDTU / nvidia_deep_learning_summercamp_2016
  Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
  ☆26Updated 8 years ago
• fabianp / overview_optalgs
  ☆30Updated 4 years ago
• thismlguy / easyML
  A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.
  ☆17Updated 5 years ago
• jhjacobsen / HierarchicalCNN
  ☆29Updated 7 years ago
• DeepLearningDTU / variational-autoencoders-summerschool-2016
  Exercises for the semi-supervised summer school https://semisupervised-learning.compute.dtu.dk.
  ☆10Updated 8 years ago
• lamblin / ccw_tutorial
  ☆15Updated 8 years ago
• holdenlee / simons-ml
  Notes from Simons Institute program "Foundations of Machine Learning"
  ☆13Updated 8 years ago
• ericjang / variance_reduction
  Implementation of Variance Reduction Techniques in Julia
  ☆11Updated 8 years ago
• yaroslavvb / imperative
  imperative programming in TensorFlow
  ☆18Updated 8 years ago
• PacktPublishing / Mastering-PyTorch-for-Deep-Learning
  Mastering PyTorch for Deep Learning, Published by Packt
  ☆15Updated 4 years ago
• csc2541-f17 / csc2541-f17.github.io
  ☆12Updated 7 years ago
• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆22Updated 9 years ago
• Jianbo-Lab / deep-learning-project
  ☆8Updated 8 years ago
• lisa-lab / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆12Updated 11 years ago