Alternatives and similar repositories for precise

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

• ssokota / mec
  Code for minimum-entropy coupling.
  ☆32Updated last year
• keyonvafa / world-model-evaluation
  ☆68Updated last year
• yobibyte / report
  Because we don't want a jupyter notebook mess...
  ☆61Updated 5 months ago
• lucidrains / GAF-microbatch-pytorch
  Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch
  ☆25Updated 10 months ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆64Updated last year
• microsoft / goodpoints
  A Python package for generating concise, high-quality summaries of a probability distribution
  ☆54Updated 2 weeks ago
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆37Updated last year
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆61Updated last year
• EleutherAI / features-across-time
  Understanding how features learned by neural networks evolve throughout training
  ☆39Updated last year
• cgarciae / einop
  ☆60Updated 3 years ago
• HEmile / neurosymbolic-diffusion
  We integrate discrete diffusion models with neurosymbolic predictors for scalable and calibrated learning and reasoning
  ☆51Updated last week
• akandykeller / NeuralWaveMachines
  Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …
  ☆76Updated 2 years ago
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆40Updated 2 years ago
• shikaiqiu / compute-better-spent
  ☆61Updated last year
• bilal-chughtai / rep-theory-mech-interp
  ☆27Updated 2 years ago
• smearle / autoverse
  Generative cellular automaton-like learning environments for RL.
  ☆19Updated 9 months ago
• KhoomeiK / complexity-scaling
  gzip Predicts Data-dependent Scaling Laws
  ☆34Updated last year
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆89Updated last year
• watcl-lab / positional_attention
  Source code for the paper "Positional Attention: Expressivity and Learnability of Algorithmic Computation"
  ☆14Updated 5 months ago
• catid / spectral_ssm
  Implementation of Spectral State Space Models
  ☆16Updated last year
• EdinburghNLP / torch-adaptive-imle
  ☆35Updated 11 months ago
• crowsonkb / LDLM
  Latent Diffusion Language Models
  ☆69Updated 2 years ago
• lucidrains / grokfast-pytorch
  Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"
  ☆103Updated 10 months ago
• joey00072 / microjax
  Jax like function transformation engine but micro, microjax
  ☆33Updated last year
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• anh-tong / nanoGPT-equinox
  nanoGPT using Equinox
  ☆13Updated 2 years ago
• AllanYangZhou / universal_neural_functional
  ☆53Updated last year
• kmkolasinski / nano-umap
  Simplified implementation of UMAP like dimensionality reduction algorithm
  ☆53Updated last year
• google-deepmind / spectral_ssm
  ☆34Updated last year
• 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