Alternatives and similar repositories for reading-list

Users that are interested in reading-list are comparing it to the libraries listed below

• krisrs1128 / Humanitarian-AI
  Weekly humanitarian AI reading group at Mila.
  ☆21Updated 6 years ago
• jacobandreas / l3
  Learning with latent language
  ☆51Updated 4 years ago
• brendenlake / AAI-site
  NYU PSYCH-GA 3405.001 / DS-GA 3001.014 : Advancing AI through cognitive science
  ☆132Updated 6 years ago
• offconvex / offconvex.github.io
  Off the convex path
  ☆67Updated 2 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
• koustuvsinha / clutrr-workshop
  ☆20Updated 5 years ago
• dallascard / DWAC
  Deep Weighted Averaging Classifiers
  ☆23Updated 6 years ago
• enalisnick / paper_summaries
  Summaries and minimal implementations of ML / statistics research articles.
  ☆39Updated 4 years ago
• acmi-lab / papers-worth-reading
  A Curated Set of Papers Actually Worth Reading
  ☆26Updated 3 years ago
• maxwshen / iap-cidl
  Causal Inference & Deep Learning, MIT IAP 2018
  ☆88Updated 7 years ago
• joanbruna / infrep17
  DS-GA-1005 Inference and Representation
  ☆15Updated 7 years ago
• cmaddis / astar-sampling
  A generic Monte Carlo method based on the Gumbel-Max trick.
  ☆32Updated 9 years ago
• ICLR / iclr.github.io
  ☆83Updated 5 years ago
• joanbruna / ir18
  Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18
  ☆67Updated 6 years ago
• vruvora / reinforcement-learning-kdd
  ☆42Updated 6 years ago
• srush / VirtualTeaching
  DIY setup for virtual teaching on ubuntu
  ☆39Updated 4 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆48Updated 6 years ago
• timvieira / rl
  Reference implementation of algorithms for reinforcement learning and Markov decision processes.
  ☆12Updated 4 years ago
• nke001 / causal_learning_unknown_interventions
  Code for "Neural causal learning from unknown interventions"
  ☆103Updated 4 years ago
• percyliang / sfig
  SVG/Javascript-based library for creating presentations/figures
  ☆59Updated 2 years ago
• ml-retrospectives / ml-retrospectives.github.io
  ☆27Updated 2 years ago
• lightlightdyy / Deep-Learning-and-Causal-Inference
  ☆29Updated 6 years ago
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆46Updated 7 years ago
• cicl-stanford / csm
  Contains all materials for the paper "A counterfactual simulation model of causal judgment".
  ☆24Updated 3 years ago
• nmonath / kdcovid
  Knowledge Discovery for COVID19: Search the full text of CORD19 research papers on COVID 19
  ☆26Updated 5 years ago
• yaringal / acquisition_example
  Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function
  ☆16Updated 7 years ago
• ideal-ut / RAI-course
  ☆27Updated 6 years ago
• jacobandreas / bibs
  Annotated bibliographies.
  ☆40Updated 5 years ago
• facebookresearch / Permutation-Equivariant-Seq2Seq
  Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…
  ☆27Updated 5 years ago
• irenetrampoline / papers
  notes on ML/CS/etc articles
  ☆47Updated 5 years ago