Alternatives and similar repositories for math-and-ml-notes

Users that are interested in math-and-ml-notes are comparing it to the libraries listed below

• GauravBh1010tt / DL-Seq2Seq
  Implementation of papers on Deep Seq2seq learning using Pytorch.
  ☆218Updated 6 years ago
• amarasovic / interpretability-literature
  ☆263Updated 6 years ago
• deep-learning-indaba / indaba-2018
  Practical Notebooks for the Deep Learning Indaba 2018
  ☆146Updated 7 years ago
• pukkapies / dl-imperial-maths
  Code and assignment repository for the Imperial College Mathematics department Deep Learning course
  ☆265Updated 6 years ago
• xbresson / CE7454_2019
  Deep learning course CE7454, 2019
  ☆191Updated 6 years ago
• AndreasMadsen / python-lrcurve
  Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.
  ☆177Updated 3 years ago
• facebookresearch / randsent
  Exploring Random Encoders for Sentence Classification
  ☆183Updated 5 years ago
• eemlcommunity / PracticalSessions2019
  Materials for the practical sessions at EEML2019
  ☆79Updated 5 years ago
• jkoutsikakis / pytorch-wrapper
  Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.
  ☆95Updated last year
• dennybritz / papergraph
  AI/ML citation graph with postgres + graphql
  ☆189Updated 5 years ago
• Kyubyong / nlp_made_easy
  Explains nlp building blocks in a simple manner.
  ☆251Updated 6 years ago
• dpressel / dliss-tutorial
  Tutorial for International Summer School on Deep Learning, 2019
  ☆316Updated 3 years ago
• pyoungkangkim / Generative-Deep-Learning-Code-in-Pytorch
  The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch
  ☆184Updated 6 years ago
• feedly / transfer-nlp
  NLP library designed for reproducible experimentation management
  ☆294Updated last year
• nplan-io / kdd2020-calibration
  How to calibrate your neural network classifier: Getting accurate probabilities from a classification model
  ☆54Updated 5 years ago
• lyeoni / pretraining-for-language-understanding
  Pre-training of Language Models for Language Understanding
  ☆83Updated 6 years ago
• tmlss2018 / PracticalSessions
  ☆123Updated 7 years ago
• ivan-vasilev / advanced-deep-learning-with-python
  Advanced Deep Learning with Python
  ☆112Updated 4 years ago
• zbloss / TransformerModel
  ☆58Updated 6 years ago
• srush / awesome-ml-tracking
  ☆104Updated 5 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆277Updated 6 years ago
• Machine-Learning-Tokyo / Reinforcement_Learning
  Material for MLT Reinforcement Learning workshops and study sessions
  ☆52Updated 5 years ago
• sjosund / ml-project-checklist
  ☆40Updated 2 years ago
• bentrevett / pytorch-nli
  A tutorial on how to implement models for natural language inference using PyTorch and TorchText. [IN PROGRESS]
  ☆26Updated 5 years ago
• tacchinotacchi / distil-bilstm
  Scripts to train a bidirectional LSTM with knowledge distillation from BERT
  ☆159Updated 6 years ago
• mertensu / transformer-tutorial
  Visualising the Transformer encoder
  ☆111Updated 5 years ago
• stared / thinking-in-tensors-writing-in-pytorch
  Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)
  ☆395Updated last year
• fastai / book_nbs
  Notebooks for upcoming fastai book (draft / incomplete)
  ☆164Updated 5 years ago
• Yale-LILY / LectureBank
  LectureBank Dataset
  ☆135Updated 2 years ago
• greentfrapp / attention-primer
  A demonstration of the attention mechanism with some toy experiments and explanations.
  ☆107Updated 7 years ago