Alternatives and similar repositories for cs231n:

Users that are interested in cs231n are comparing it to the libraries listed below

• tengyuma / cs229m_notes
  ☆224Updated 2 years ago
• dlsyscourse / public_notebooks
  ☆58Updated 5 months ago
• Subhajit135 / CS236_DGM
  🦍 Stanford CS236 : Deep Generative Models
  ☆134Updated 6 years ago
• kolchinski / cs236
  ☆12Updated 6 years ago
• tyleryzhu / course-notes
  Source code for most of my course notes
  ☆20Updated 4 years ago
• tengyuma / stats205_notes
  the public repo for stats205 scribe notes at Stanford University
  ☆13Updated 3 years ago
• zhiranchen / CMU11785-Deep-Learning
  Projects on AI topics like speech recognition, face recognition, and neural machine translation + Projects on engineering my own version …
  ☆46Updated 4 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆66Updated 6 years ago
• jariasf / CS231n
  My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
  ☆474Updated 2 years ago
• lilianweng / unified-gan-tensorflow
  A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
  ☆118Updated 6 years ago
• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆122Updated 6 years ago
• maxwass / all_of_statistics_solns
  Some worked exercises from Larry Wasserman's "All of Statistics"
  ☆41Updated 5 years ago
• MahanFathi / CS231
  Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
  ☆379Updated 3 years ago
• sshkhr / Practical_RL
  My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
  ☆53Updated 3 years ago
• lyeoni / pytorch-mnist-GAN
  ☆66Updated 6 years ago
• omerbsezer / Generative_Models_Tutorial_with_Demo
  Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs),…
  ☆336Updated 6 years ago
• podgorskiy / VAE
  Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.
  ☆73Updated 6 years ago
• pyemma / Argo
  A ML playground for education purpose
  ☆16Updated this week
• xia0nan / David-Silver-Reinforcement-Learning-UCL
  Study repo for David Silver's Reinforcement Learning Course
  ☆11Updated 6 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆275Updated 6 years ago
• CHTC / templates-GPUs
  Template job submissions using GPUs in CHTC
  ☆46Updated last week
• eyalzk / sketch_rnn_keras
  Keras implementation of Sketch RNN
  ☆145Updated 6 years ago
• FrancescoSaverioZuppichini / ResNet
  Clean, scalable and easy to use ResNet implementation in Pytorch
  ☆208Updated 5 years ago
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆74Updated 6 years ago
• kamenbliznashki / generative_models
  Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
  ☆91Updated 4 years ago
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆160Updated 4 years ago
• albertpumarola / deep-learning-notes
  My CS231n lecture notes
  ☆200Updated 6 years ago
• jiazhao97 / VQ-VAE_withPixelCNNprior
  Implementation of Vector Quantised VAE (VQ-VAE) with PixelCNN prior in Tensorflow.
  ☆38Updated last year
• inessus / CMU_11785_Deep_Learning_Code
  ☆20Updated 6 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆129Updated 8 months ago