ejmichaud / precision-ml
☆13Updated 2 years ago
Alternatives and similar repositories for precision-ml:
Users that are interested in precision-ml are comparing it to the libraries listed below
- You should use PySR to find scaling laws. Here's an example.☆33Updated last year
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated last year
- Official code for paper: Conservative objective models are a special kind of contrastive divergence-based energy model☆14Updated last year
- High-performance tokenized language data-loader for Python C++ extension☆12Updated 7 months ago
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆24Updated 4 months ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆47Updated 2 weeks ago
- Quantification of Uncertainty with Adversarial Models☆28Updated last year
- Differentiable Euler Characteristic Transform☆17Updated 8 months ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆42Updated last year
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆26Updated last year
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Source code for the paper "Positional Attention: Out-of-Distribution Generalization and Expressivity for Neural Algorithmic Reasoning"☆14Updated last month
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- JAX exponential map normalising flows on sphere☆17Updated 4 years ago
- Source-to-Source Debuggable Derivatives in Pure Python☆15Updated last year
- Source code repository for the AISTAT 2023 paper Transport Reversible Jump Proposals.☆10Updated 2 years ago
- Official implementation of E(n)-equivariant Graph Neural Cellular Automata☆26Updated 10 months ago
- Repo for paper: Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems, accepted at AISTATS 2024☆12Updated last year
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- This repo provides code and data to reproduce the results in the paper for "Electron Transfer Rules of Minerals under Pressure informed b…☆10Updated last year
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆19Updated 2 years ago
- ☆11Updated 9 months ago
- Official GitHub repository of the lecture "Multimodal Deep Learning for Recommendation", at the 2024 ACM RecSys Summer School☆9Updated 5 months ago
- Implementation of papers in 101 lines of code.☆18Updated last year
- ☆10Updated 2 years ago
- ☆34Updated last year
- Implementation of Spectral State Space Models☆16Updated last year
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆24Updated 3 years ago