Alternatives and similar repositories for 36705-Intermediate-Stat

Users that are interested in 36705-Intermediate-Stat are comparing it to the libraries listed below

• DeepGraphLearning / Graph-Reading-Group
  Weekly reading group on Graphs at Mila
  ☆31Updated 6 years ago
• LilianYe / some-Solutions-for-Elements-of-Elements-of-Statistical-Learning
  ☆26Updated 10 years ago
• danqi / thesis
  Danqi Chen's PhD Thesis
  ☆224Updated 5 years ago
• yousuketakada / prml_errata
  More PRML Errata
  ☆81Updated 2 years ago
• djstrouse / information-bottleneck
  a python implementation of various versions of the information bottleneck, including automated parameter searching
  ☆128Updated 5 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆278Updated 6 years ago
• joanbruna / ir18
  Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18
  ☆68Updated 6 years ago
• deeplearning-math / deeplearning-math.github.io
  A Course on Mathematical Theories of Deep Learning
  ☆79Updated 4 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 4 years ago
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated last year
• Chillee / OpenReviewExplorer
  Explore OpenReview papers for ICLR (with citation counts, acceptance status, and ratings)!
  ☆90Updated 4 years ago
• JeanKossaifi / caltech-tutorial
  Material for my Caltech tutorial on deep learning and tensor methods
  ☆70Updated 7 years ago
• brendenlake / meta_seq2seq
  PyTorch code for meta seq2seq learning
  ☆43Updated 5 years ago
• AminJun / ICLR2020
  ICLR2020 Downloader & Search Tool
  ☆18Updated 6 years ago
• neubig / minnn-assignment
  An assignment on creating a minimalist neural network toolkit for CS11-747
  ☆64Updated last year
• 2prime / Paper-Reading
  Paper Reading
  ☆72Updated 7 years ago
• offconvex / offconvex.github.io
  Off the convex path
  ☆67Updated 2 years ago
• otokonoko8 / deep-Bayesian-nonparametrics-papers
  The collection of papers about combining deep learning and Bayesian nonparametrics
  ☆121Updated 5 years ago
• authors-1901-10912 / A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms
  Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"
  ☆127Updated 6 years ago
• nke001 / causal_learning_unknown_interventions
  Code for "Neural causal learning from unknown interventions"
  ☆104Updated 5 years ago
• pcyin / pytorch_basic_nmt
  A simple yet strong implementation of neural machine translation in pytorch
  ☆92Updated 4 years ago
• napsternxg / pytorch-practice
  Some example scripts on pytorch
  ☆197Updated 3 years ago
• jiamings / tsong.me
  You can use my code, but I would appreciate it if you provide a link back to my website. Also do not mess up with Google Analytics!
  ☆14Updated last year
• shaohua0116 / ICLR2019-OpenReviewData
  Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
  ☆387Updated 5 years ago
• tanyuqian / learning-data-manipulation
  NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting
  ☆110Updated 5 years ago
• IKMLab / arct2
  Code for reproducing experiments in our ACL 2019 paper "Probing Neural Network Comprehension of Natural Language Arguments"
  ☆53Updated 3 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated 2 years ago
• sangwoomo / ml-resources
  Personal and biased selection of ML resources
  ☆151Updated 5 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• ExplorerFreda / TreeEnc
  [EMNLP 2018] On Tree-Based Neural Sentence Modeling.
  ☆64Updated 6 years ago