Alternatives and similar repositories for colab-tricks

Users that are interested in colab-tricks are comparing it to the libraries listed below

• fastai / fastscript
  A fast way to turn your python function into a script
  ☆164Updated 3 years ago
• stas00 / ipyexperiments
  Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers
  ☆225Updated last year
• fastai / fastgpu
  A queue service for quickly developing scripts that use all your GPUs efficiently
  ☆88Updated 3 years ago
• AndreasMadsen / python-lrcurve
  Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.
  ☆177Updated 3 years ago
• srush / awesome-ml-tracking
  ☆104Updated 4 years ago
• Guillemdb / FractalAI
  Celular automaton-based calculus for the masses
  ☆112Updated 5 years ago
• radekosmulski / quickdraw
  ☆169Updated 6 years ago
• blue-season / pywarm
  A cleaner way to build neural networks for PyTorch.
  ☆184Updated 6 years ago
• minitorch / minitorch.github.io
  Docs
  ☆143Updated 10 months ago
• srush / parallax
  ☆153Updated 5 years ago
• fastai / tf-fit
  Fit your tensorflow model using fastai and PyTorch
  ☆91Updated 5 years ago
• szymonmaszke / torchfunc
  PyTorch functions and utilities to make your life easier
  ☆194Updated 4 years ago
• szymonmaszke / torchlayers
  Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
  ☆572Updated 3 years ago
• zurutech / gans-from-theory-to-production
  Material for the tutorial: "Deep Diving into GANs: from theory to production"
  ☆209Updated 2 years ago
• will-thompson-k / tldr-transformers
  The "tl;dr" on a few notable transformer papers (pre-2022).
  ☆190Updated 2 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 5 years ago
• facebookresearch / dagger
  Experiment orchestration
  ☆102Updated 5 years ago
• dennybritz / papergraph
  AI/ML citation graph with postgres + graphql
  ☆187Updated 5 years ago
• Vermeille / Torchelie
  Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.
  ☆110Updated last month
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 5 years ago
• masesk / process-google-dataset
  Process Google Dataset is a tool to download and process images for neural networks from a Google Image Search using a Chrome extension a…
  ☆33Updated 4 years ago
• ofnote / tsalib
  Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)
  ☆266Updated 5 years ago
• mertensu / transformer-tutorial
  Visualising the Transformer encoder
  ☆111Updated 4 years ago
• kennysong / minigrad
  A minimal implementation of autograd (in pure Python) 🍰
  ☆95Updated 4 years ago
• PetrochukM / HParams
  Configure Python functions explicitly and safely
  ☆127Updated 10 months ago
• greentfrapp / attention-primer
  A demonstration of the attention mechanism with some toy experiments and explanations.
  ☆107Updated 7 years ago
• divyanshj16 / SPADE
  "Semantic Image Synthesis with Spatially-Adaptive Normalization" paper implementation
  ☆69Updated 6 years ago
• fg91 / Neural-Image-Caption-Generation-Tutorial
  ☆66Updated 5 years ago
• AakashKumarNain / AugMix_TF2
  TF2.0 port for Augmix paper
  ☆79Updated 5 years ago
• digantamisra98 / Echo
  Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)
  ☆136Updated 2 years ago