Alternatives and similar repositories for ai-and-efficiency

Users that are interested in ai-and-efficiency are comparing it to the libraries listed below

• openai / LHOPT
  Learned Hyperparameter Optimizers
  ☆60Updated 4 years ago
• openai / distribution_augmentation
  Code for the paper, "Distribution Augmentation for Generative Modeling", ICML 2020.
  ☆129Updated 2 years ago
• lucidrains / PaLM-jax
  Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)
  ☆188Updated 3 years ago
• aks2203 / easy-to-hard
  Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
  ☆59Updated 3 years ago
• EleutherAI / pyfra
  Python Research Framework
  ☆106Updated 3 years ago
• Sea-Snell / JAXSeq
  Train very large language models in Jax.
  ☆210Updated 2 years ago
• borisdayma / vit-vqgan
  JAX implementation ViT-VQGAN
  ☆59Updated 3 years ago
• kingoflolz / swarm-jax
  Swarm training framework using Haiku + JAX + Ray for layer parallel transformer language models on unreliable, heterogeneous nodes
  ☆242Updated 2 years ago
• joschu / jax-exp
  ☆24Updated 6 years ago
• HomebrewML / HomebrewNLP-torch
  A case study of efficient training of large language models using commodity hardware.
  ☆68Updated 3 years ago
• openai / understanding-rl-vision
  Code for the paper "Understanding RL Vision"
  ☆50Updated 2 years ago
• hendrycks / jiminy-cricket
  Jiminy Cricket Environment (NeurIPS 2021)
  ☆25Updated 3 years ago
• princeton-nlp / DataMUX
  [NeurIPS 2022] DataMUX: Data Multiplexing for Neural Networks
  ☆60Updated 2 years ago
• google / init2winit
  ☆79Updated this week
• srush / torch-queue
  ☆71Updated 2 years ago
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆115Updated 3 years ago
• huggingface / simulate
  🎢 Creating and sharing simulation environments for embodied and synthetic data research
  ☆190Updated 2 years ago
• shawwn / ml-notes
  ☆40Updated 2 years ago
• google-deepmind / dks
  Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…
  ☆74Updated 4 months ago
• HomebrewML / revlib
  Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload
  ☆131Updated 3 years ago
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆63Updated 4 years ago
• facebookresearch / MathsFromExamples
  Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François…
  ☆181Updated 4 years ago
• HumanCompatibleAI / rlsp
  Reward Learning by Simulating the Past
  ☆46Updated 6 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated 2 years ago
• google-deepmind / neural_testbed
  ☆192Updated 4 months ago
• andyljones / boardlaw
  Scaling scaling laws with board games.
  ☆53Updated 2 years ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated 2 years ago
• google-deepmind / jaxline
  ☆159Updated last year
• fsschneider / DeepOBS
  DeepOBS: A Deep Learning Optimizer Benchmark Suite
  ☆108Updated last year