Alternatives and similar repositories for stats205_notes

Users that are interested in stats205_notes are comparing it to the libraries listed below

• tengyuma / cs229m_notes
  ☆238Updated 2 years ago
• dlsyscourse / public_notebooks
  ☆58Updated 11 months ago
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆162Updated 4 years ago
• ZizouHe / Machine-Learning
  Machine Learning Course Materials, Tsinghua IIIS
  ☆19Updated 7 years ago
• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆122Updated 6 years ago
• facebookresearch / amortized-optimization-tutorial
  Tutorial on amortized optimization for learning to optimize over continuous domains
  ☆247Updated last month
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆78Updated 6 years ago
• pppppass / ToolsSeminar
  Seminar on Selected Tools
  ☆24Updated 7 years ago
• davidbau / how-to-read-pytorch
  Quick, visual, principled introduction to pytorch code through five colab notebooks.
  ☆445Updated 9 months ago
• ryanchankh / redunet_paper
  Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)
  ☆60Updated 4 years ago
• hendrydong / NTK-and-MF-examples
  Visualization of mean field and neural tangent kernel regime
  ☆20Updated last year
• yousuketakada / prml_errata
  More PRML Errata
  ☆81Updated 2 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆145Updated last year
• mblondel / teaching
  ☆85Updated 4 years ago
• ruosongwang / CNTK
  Convolutional Neural Tangent Kernel
  ☆112Updated 6 years ago
• rgrosse / csc2541_examples
  ☆30Updated 4 years ago
• ryanchankh / redunet_demo
  ☆84Updated 4 years ago
• facebookresearch / LAWT
  Code for papers Linear Algebra with Transformers (TMLR) and What is my Math Transformer Doing? (AI for Maths Workshop, Neurips 2022)
  ☆76Updated last year
• gabrieleilertsen / nws
  Dissecting the weight space of neural networks
  ☆18Updated 4 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆47Updated 6 years ago
• gpauloski / kfac-pytorch
  Distributed K-FAC preconditioner for PyTorch
  ☆91Updated this week
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 6 years ago
• google-deepmind / mc_gradients
  ☆171Updated last year
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• rflamary / OTML_DS3_2018
  Practical sessions for the Optimal Transport and Machine learning course at DS3 2018
  ☆92Updated 7 years ago
• teddykoker / grokking
  PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆38Updated 3 years ago
• y0ast / pytorch-snippets
  Collection of snippets for PyTorch users
  ☆25Updated 3 years ago
• HazyResearch / augmentation_code
  Reproducible code for Augmentation paper
  ☆17Updated 6 years ago
• fdraxler / PyTorch-AutoNEB
  PyTorch AutoNEB implementation to identify minimum energy paths, e.g. in neural network loss landscapes
  ☆56Updated 3 years ago