Alternatives and similar repositories for Quantifying-Independently-Reproducible-ML

Users that are interested in Quantifying-Independently-Reproducible-ML are comparing it to the libraries listed below

• TimDettmers / transformer-xl
  ☆65Updated 5 years ago
• viking-sudo-rm / stacknn-core
  Pip-installable differentiable stacks in PyTorch!
  ☆65Updated 5 years ago
• hal3 / macarico
  learning to search in pytorch
  ☆110Updated 5 years ago
• AndreasMadsen / stable-nalu
  Code for Neural Arithmetic Units (ICLR) and Measuring Arithmetic Extrapolation Performance (SEDL|NeurIPS)
  ☆147Updated 4 years ago
• dennybritz / papergraph
  AI/ML citation graph with postgres + graphql
  ☆189Updated 5 years ago
• srush / awesome-ml-tracking
  ☆104Updated 5 years ago
• facebookresearch / dagger
  Experiment orchestration
  ☆102Updated 5 years ago
• stanis-morozov / prodige
  A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.
  ☆47Updated 6 years ago
• ICLR / iclr.github.io
  ☆82Updated 5 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 6 years ago
• cgraywang / transformer-on-diet
  Code repo for "Transformer on a Diet" paper
  ☆31Updated 5 years ago
• namedtensor / notation
  ☆108Updated 3 years ago
• IndicoDataSolutions / Enso
  Enso: An Open Source Library for Benchmarking Embeddings + Transfer Learning Methods
  ☆96Updated 5 years ago
• lyeoni / pretraining-for-language-understanding
  Pre-training of Language Models for Language Understanding
  ☆83Updated 6 years ago
• amzn / metalearn-leap
  Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…
  ☆148Updated 2 years ago
• cybertronai / transformer-xl
  Training Transformer-XL on 128 GPUs
  ☆141Updated 5 years ago
• rizar / systematic-generalization-sqoop
  Code for "Systematic Generalization: What Is Required and Can It Be Learned"
  ☆37Updated 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…
  ☆33Updated 7 years ago
• dennybritz / papergraph-ui
  Browse the CS/AI/ML research paper graph
  ☆51Updated 2 years ago
• elanmart / psmm
  ☆48Updated 7 years ago
• krisrs1128 / Humanitarian-AI
  Weekly humanitarian AI reading group at Mila.
  ☆21Updated 6 years ago
• amarasovic / matplotlib4papers
  Matplotlib examples to present results.
  ☆70Updated 8 years ago
• lilianweng / generalization-experiment
  TBA
  ☆77Updated 6 years ago
• greentfrapp / attention-primer
  A demonstration of the attention mechanism with some toy experiments and explanations.
  ☆107Updated 7 years ago
• HazyResearch / reef
  Automatically labeling training data
  ☆107Updated 7 years ago
• PetrochukM / HParams
  Configure Python functions explicitly and safely
  ☆128Updated last year
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆194Updated 2 years ago
• timvieira / spanning_tree
  A reference implementation of algorithms for distributions over spanning trees.
  ☆21Updated 5 years ago
• viking-sudo-rm / StackNN
  Experiments with differentiable stacks and queues in PyTorch
  ☆145Updated 6 years ago
• ohmeow / seq2seq-pytorch-fastai
  Explorations in building seq2seq models using PyTorch and fast.ai
  ☆14Updated 6 years ago