Alternatives and similar repositories for NYU-DLSP20:

Users that are interested in NYU-DLSP20 are comparing it to the libraries listed below

• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,680Updated last month
• ritchieng / the-incredible-pytorch
  The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
  ☆11,850Updated 3 months ago
• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,613Updated 7 months ago
• Lightning-AI / pytorch-lightning
  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
  ☆29,384Updated last week
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆8,882Updated last week
• fastai / numerical-linear-algebra
  Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
  ☆10,478Updated last year
• eugeneyan / ml-surveys
  📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
  ☆2,850Updated 2 years ago
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,014Updated last week
• jason718 / awesome-self-supervised-learning
  A curated list of awesome self-supervised methods
  ☆6,268Updated 10 months ago
• victoresque / pytorch-template
  PyTorch deep learning projects made easy.
  ☆4,917Updated 11 months ago
• IgorSusmelj / pytorch-styleguide
  An unofficial styleguide and best practices summary for PyTorch
  ☆1,978Updated 3 years ago
• tensorflow / lucid
  A collection of infrastructure and tools for research in neural network interpretability.
  ☆4,694Updated 2 years ago
• probml / pyprobml
  Python code for "Probabilistic Machine learning" book by Kevin Murphy
  ☆6,740Updated 5 months ago
• jcjohnson / pytorch-examples
  Simple examples to introduce PyTorch
  ☆4,776Updated 3 years ago
• alirezadir / Production-Level-Deep-Learning
  A guideline for building practical production-level deep learning systems to be deployed in real world applications.
  ☆4,452Updated last year
• the-full-stack / course-gitbook
  Full Stack Deep Learning Online Course
  ☆898Updated 3 years ago
• pytorch / ignite
  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
  ☆4,651Updated last week
• christophM / interpretable-ml-book
  Book about interpretable machine learning
  ☆4,939Updated last month
• ctgk / PRML
  PRML algorithms implemented in Python
  ☆11,578Updated last month
• dsgiitr / d2l-pytorch
  This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
  ☆4,293Updated 9 months ago
• fastai / fastai
  The fastai deep learning library
  ☆26,924Updated 2 weeks ago
• visenger / awesome-mlops
  A curated list of references for MLOps
  ☆13,080Updated 5 months ago
• pytorch / tutorials
  PyTorch tutorials.
  ☆8,548Updated this week
• AakashKumarNain / annotated_research_papers
  This repo contains annotated research papers that I found really good and useful
  ☆2,736Updated 2 months ago
• google / trax
  Trax — Deep Learning with Clear Code and Speed
  ☆8,203Updated 3 weeks ago
• cs231n / cs231n.github.io
  Public facing notes page
  ☆10,454Updated last week
• afshinea / stanford-cs-230-deep-learning
  VIP cheatsheets for Stanford's CS 230 Deep Learning
  ☆6,550Updated 4 years ago
• catalyst-team / catalyst
  Accelerated deep learning R&D
  ☆3,348Updated last year
• rasbt / deeplearning-models
  A collection of various deep learning architectures, models, and tips
  ☆17,017Updated last year
• microsoft / tensorwatch
  Debugging, monitoring and visualization for Python Machine Learning and Data Science
  ☆3,440Updated last year