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 11 months ago
• cgarciae / einop
  ☆60Updated 3 years ago
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆37Updated last year
• smearle / autoverse
  Generative cellular automaton-like learning environments for RL.
  ☆19Updated 4 months ago
• Z-T-WANG / LaProp-Optimizer
  Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"
  ☆29Updated 4 years ago
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated 2 years ago
• SamsungSAILMontreal / nino
  Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [to appear at ICLR 2025]
  ☆19Updated last month
• edwardmilsom / function-space-learning-rates-paper
  Code for the paper "Function-Space Learning Rates"
  ☆20Updated 3 weeks ago
• leonard-gleyzer / connex
  Fine-grained, dynamic control of neural network topology in JAX.
  ☆21Updated last year
• bilal-chughtai / rep-theory-mech-interp
  ☆26Updated 2 years ago
• EleutherAI / features-across-time
  Understanding how features learned by neural networks evolve throughout training
  ☆35Updated 8 months ago
• evanatyourservice / llm-jax
  Train a SmolLM-style llm on fineweb-edu in JAX/Flax with an assortment of optimizers.
  ☆17Updated 3 months ago
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆18Updated 4 months ago
• brendel-group / compositional-ood-generalization
  Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)
  ☆11Updated last year
• keyonvafa / world-model-evaluation
  ☆55Updated 7 months ago
• google-deepmind / spectral_ssm
  ☆32Updated last year
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆37Updated 2 years ago
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆58Updated last year
• lucidrains / GAF-microbatch-pytorch
  Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch
  ☆25Updated 5 months ago
• LiibanMo / scikit-jax
  Your favourite classical machine learning algos on the GPU/TPU
  ☆20Updated 5 months ago
• ClashLuke / SOAP
  ☆21Updated 7 months ago
• enajx / HyperNCA
  ☆39Updated 3 years ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆63Updated last year
• IBM / ColPret
  Efficient Scaling laws and collaborative pretraining.
  ☆16Updated 4 months ago
• shikaiqiu / compute-better-spent
  ☆53Updated 8 months ago
• ApolloResearch / apd
  Attribution-based Parameter Decomposition
  ☆25Updated 2 weeks ago
• KhoomeiK / complexity-scaling
  gzip Predicts Data-dependent Scaling Laws
  ☆35Updated last year
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• GallagherCommaJack / modulax
  ☆17Updated 10 months ago
• smonsays / jax-hypernetwork
  A simple hypernetwork implementation in jax using haiku.
  ☆23Updated 2 years ago