Alternatives and similar repositories for mlxp

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

• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆367Updated 3 months ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• greydanus / mnist1d
  A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
  ☆227Updated 10 months ago
• BlackHC / neural_net_checklist
  ☆150Updated 11 months ago
• archinetai / surgeon-pytorch
  A library to inspect and extract intermediate layers of PyTorch models.
  ☆473Updated 3 years ago
• facebookresearch / torchdim
  Named tensors with first-class dimensions for PyTorch
  ☆332Updated 2 years ago
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆179Updated last week
• mlcommons / algorithmic-efficiency
  MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…
  ☆389Updated this week
• mit-ll-responsible-ai / hydra-zen
  Create powerful Hydra applications without the yaml files and boilerplate code.
  ☆392Updated this week
• brohrer / sharpened-cosine-similarity
  An alternative to convolution in neural networks
  ☆256Updated last year
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆181Updated 2 years ago
• Atcold / Energy-Book
  Deep Learning, an Energy Approach
  ☆199Updated 2 months ago
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆253Updated 2 months ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆130Updated 2 years ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆90Updated last year
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆166Updated last month
• ctlllll / SGConv
  ☆163Updated 2 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆588Updated 7 months ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆308Updated last month
• j3soon / tbparse
  Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow
  ☆203Updated 11 months ago
• google-deepmind / enn
  ☆312Updated 5 months ago
• google-deepmind / synjax
  ☆247Updated last month
• wilson-labs / cola
  Compositional Linear Algebra
  ☆487Updated last week
• kach / gradient-descent-the-ultimate-optimizer
  Code for our NeurIPS 2022 paper
  ☆370Updated 2 years ago
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆480Updated 3 years ago
• awf / functional-transformer
  A pure-functional implementation of a machine learning transformer model in Python/JAX
  ☆179Updated 3 months ago
• xl0 / lovely-numpy
  NumPy arrays, ready for human consumption
  ☆70Updated last month
• facebookresearch / exca
  Exca - Execution and caching tool for python
  ☆90Updated this week
• srush / annotated-s4
  Implementation of https://srush.github.io/annotated-s4
  ☆500Updated last month
• hristo-vrigazov / mmap.ninja
  Memory mapped numpy arrays of varying shapes
  ☆299Updated last year