Alternatives and similar repositories for neural-net-optimization

Users that are interested in neural-net-optimization are comparing it to the libraries listed below

• 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
• blue-season / pywarm
  A cleaner way to build neural networks for PyTorch.
  ☆184Updated 5 years ago
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 5 years ago
• AakashKumarNain / AugMix_TF2
  TF2.0 port for Augmix paper
  ☆79Updated 5 years ago
• p-christ / nn_builder
  Build neural networks with less boilerplate code
  ☆167Updated last year
• Guillemdb / FractalAI
  Celular automaton-based calculus for the masses
  ☆112Updated 5 years ago
• ucalyptus / awesome-fastai
  Curated lists of fastai resources: blog posts, twitter threads etc.
  ☆144Updated 5 years ago
• Cohere-Labs-Community / rl
  Generic reinforcement learning codebase in TensorFlow
  ☆95Updated 3 years ago
• ADGEfficiency / rl-resources
  A curated collection of reinforcement learning resources
  ☆90Updated last year
• shawwn / colab-tricks
  Tricks for Colab power users
  ☆169Updated 5 years ago
• zurutech / gans-from-theory-to-production
  Material for the tutorial: "Deep Diving into GANs: from theory to production"
  ☆206Updated 2 years ago
• AndreasMadsen / python-lrcurve
  Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.
  ☆176Updated 3 years ago
• kartik4949 / TensorPipe
  High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.
  ☆86Updated 3 years ago
• fastai / book_nbs
  Notebooks for upcoming fastai book (draft / incomplete)
  ☆162Updated 5 years ago
• fastai / tf-fit
  Fit your tensorflow model using fastai and PyTorch
  ☆91Updated 5 years ago
• sayakpaul / SimSiam-TF
  Minimal implementation of SimSiam (https://arxiv.org/abs/2011.10566) in TensorFlow 2.
  ☆98Updated 4 years ago
• mlcontests / mlcontests.github.io
  A list of public machine learning/data science/AI contests.
  ☆198Updated last week
• naraB / jupyter-notifier
  A Browser Extension That Notifies You When Jupyter Notebook Code Cells Terminate
  ☆45Updated 5 years ago
• oguiza / fastai_extensions
  Code you can use jointly with fastai
  ☆93Updated 4 years ago
• uber-research / GTN
  ☆77Updated 5 years ago
• nicklashansen / minimal-nas
  Minimal implementation of a Neural Architecture Search system.
  ☆38Updated 5 years ago
• CleanPegasus / coffeeshop
  A python package that sends your deep learning training and validation metrics to your slack channel after every specified epoch
  ☆61Updated 5 years ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆97Updated 8 months ago
• fastai / fastgpu
  A queue service for quickly developing scripts that use all your GPUs efficiently
  ☆84Updated 2 years ago
• iArunava / scratchai
  scratchai is a Deep Learning library that aims to store all Deep Learning algorithms. With easy calls to do all the common tasks in AI.
  ☆96Updated last year
• DebPanigrahi / Machine-Learning
  Machine learning algorithms
  ☆112Updated 6 years ago
• CleanPegasus / TensorDash
  TensorDash is an application that lets you remotely monitor your deep learning model's metrics and notifies you when your model training …
  ☆165Updated 2 years ago
• DanielhCarranza / ml-production-template
  This codebase is a starting point to get your Machine Learning project into Production.
  ☆43Updated 4 years ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 2 years ago
• facebookresearch / dagger
  Experiment orchestration
  ☆103Updated 4 years ago