Alternatives and similar repositories for precision-ml:

Users that are interested in precision-ml are comparing it to the libraries listed below

• catid / dataloader
  High-performance tokenized language data-loader for Python C++ extension
  ☆12Updated 8 months ago
• Rose-STL-Lab / AutoSTPP
  Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…
  ☆24Updated 5 months ago
• MilesCranmer / pysr_scaling_laws
  You should use PySR to find scaling laws. Here's an example.
  ☆33Updated last year
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆28Updated last year
• ethansmith2000 / MazeSolver
  ☆11Updated 10 months ago
• leonard-gleyzer / connex
  Fine-grained, dynamic control of neural network topology in JAX.
  ☆21Updated last year
• berenslab / iclr-dataset
  ICLR dataset
  ☆23Updated this week
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated 9 months ago
• trisongz / pylines
  Simplifying parsing of large jsonline files in NLP Workflows
  ☆12Updated 3 years ago
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated last year
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆42Updated last year
• IDSIA / neuraldiffeq-fwp
  Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…
  ☆20Updated 2 years ago
• EleutherAI / rnngineering
  Engineering the state of RNN language models (Mamba, RWKV, etc.)
  ☆32Updated 9 months ago
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆19Updated last month
• stanfordmlgroup / disentanglement
  Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
  ☆35Updated 4 years ago
• chendiqian / IPM_MPNN
  Repo for paper: Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems, accepted at AISTATS 2024
  ☆12Updated last year
• LiibanMo / scikit-jax
  Your favourite classical machine learning algos on the GPU/TPU
  ☆20Updated 2 months ago
• Rose-STL-Lab / Multi-Fidelity-Deep-Active-Learning
  ☆14Updated last year
• YuGuangWang / PAN
  Path integral based convolution and pooling
  ☆29Updated 2 years ago
• google-deepmind / understanding_deep_generative_models_with_generalized_empirical_likelihood
  ☆34Updated last year
• juliusberner / deep_kolmogorov
  Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
  ☆22Updated 2 years ago
• lucidrains / holodeck-pytorch
  Implementation of a holodeck, written in Pytorch
  ☆17Updated last year
• Zymrael / torchSODE
  PyTorch block-diagonal ODE CUDA solver, designed for gradient-based optimization
  ☆15Updated 4 years ago
• facebookresearch / LAWT
  Code for papers Linear Algebra with Transformers (TMLR) and What is my Math Transformer Doing? (AI for Maths Workshop, Neurips 2022)
  ☆67Updated 7 months ago
• gcucurull / jax-gat
  JAX implementation of Graph Attention Networks
  ☆13Updated 3 years ago
• AndPotap / halfpres_gps
  ☆16Updated last year
• opallab / positional_attention
  Source code for the paper "Positional Attention: Out-of-Distribution Generalization and Expressivity for Neural Algorithmic Reasoning"
  ☆14Updated last month