Alternatives and similar repositories for pygeneses

Users that are interested in pygeneses are comparing it to the libraries listed below

• Rishit-dagli / GLOM-TensorFlow
  An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
  ☆37Updated 4 years ago
• LukeWood / keras-genetic
  ☆18Updated 3 years ago
• opium-sh / prl
  Open-source library for a reinforcement learning research.
  ☆54Updated 2 years ago
• grohith327 / simplegan
  Tensorflow-based framework to ease training of generative models
  ☆19Updated 5 years ago
• sash-a / es_pytorch
  High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters
  ☆27Updated 3 years ago
• parmarsuraj99 / keras-transformer-flex
  Transformer block in tf.keras similar to PyTorch's nn.Transformer block.
  ☆9Updated 4 years ago
• AIcrowd / neurips2020-procgen-starter-kit
  Starter Kit for NeurIPS 2020 - Procgen Competition on AIcrowd
  ☆91Updated 2 years ago
• EleutherAI / equivariance
  A framework for implementing equivariant DL
  ☆10Updated 4 years ago
• sayakpaul / GCP-ML-API-Demos
  Contains Colab Notebooks show cool use-cases of different GCP ML APIs.
  ☆10Updated 4 years ago
• ariG23498 / NeuralStyleTransfer
  Code for Neural Style Transfer.
  ☆12Updated 4 years ago
• sayakpaul / EvoNorms-in-TensorFlow-2
  Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.
  ☆11Updated 5 years ago
• sayakpaul / PAWS-TF
  Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.
  ☆45Updated 4 years ago
• oke-aditya / pytorch_cnn_trainer
  A Simple but Powerful CNN Trainer For PyTorch
  ☆26Updated 4 years ago
• apaszke / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆10Updated 5 years ago
• sayakpaul / Denoised-Smoothing-TF
  Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.
  ☆20Updated 3 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 3 years ago
• GeorgeKyriakides / nord
  Deep neural architecture research framework
  ☆12Updated 2 years ago
• soumik12345 / DDPG
  Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control
  ☆26Updated 2 years ago
• kartik4949 / TensorPipe
  High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.
  ☆86Updated 3 years ago
• ma3oun / hrn
  Hash-routed Networks
  ☆20Updated 4 years ago
• distillpub / post--understanding-rl-vision
  Understanding RL vision Distill article
  ☆23Updated 2 years ago
• 0xangelo / raylab
  Reinforcement learning algorithms in RLlib
  ☆60Updated last year
• akshaybahadur21 / CricketLytics
  Cricket analytics for humans 🏏
  ☆12Updated 2 years ago
• Guillemdb / FractalAI
  Celular automaton-based calculus for the masses
  ☆112Updated 5 years ago
• PartnershipOnAI / safelife
  SafeLife: safety benchmarks for reinforcement learning agents
  ☆60Updated 4 years ago
• sayakpaul / NALU
  Neural Arithmetic Logic Units by Trask et al.
  ☆12Updated 6 years ago
• Borda / pyDeprecate
  Simple tooling for marking deprecated functions or classes and re-routing to the new successors' instance.
  ☆51Updated 2 months ago
• shreyansh26 / ML-Optimizers-JAX
  Toy implementations of some popular ML optimizers using Python/JAX
  ☆44Updated 4 years ago
• chandar-lab / RLHive
  ☆101Updated last year
• pytorch-ignite / code-generator
  Web Application to generate your training scripts with PyTorch Ignite
  ☆41Updated this week