Alternatives and similar repositories for recur:

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

• facebookresearch / symbolicregression
  SR based on LLMs.
  ☆94Updated 2 years ago
• mojivalipour / symbolicgpt
  Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…
  ☆43Updated 3 years ago
• omron-sinicx / srsd-benchmark
  [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
  ☆32Updated 11 months ago
• IDSIA / neuraldiffeq-fwp
  Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…
  ☆19Updated 2 years ago
• EdinburghNLP / torch-adaptive-imle
  ☆34Updated 2 months ago
• deep-symbolic-mathematics / Multimodal-Math-Pretraining
  [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…
  ☆51Updated 3 months ago
• ejmichaud / grokking-squared
  ☆24Updated 2 years ago
• neuroevobench / neuroevobench
  Neuroevolution Benchmark in JAX 🦕
  ☆38Updated last year
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆82Updated last year
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆55Updated last year
• ml-jku / DIffUCO
  ☆35Updated this week
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆16Updated 3 years ago
• dlwh / jax_sourceror
  Turn jitted jax functions back into python source code
  ☆22Updated last month
• random-matrix-learning / slides
  LaTeX source code for the slides
  ☆23Updated 3 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆83Updated 2 years ago
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆39Updated 4 years ago
• Sea-Snell / grokking
  unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆71Updated 2 years ago
• deep-symbolic-mathematics / TPSR
  [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
  ☆63Updated 3 months ago
• pilancilab / scnn
  Scalable Convex Neural Networks
  ☆22Updated 3 months ago
• teddykoker / grokking
  PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆35Updated 3 years ago
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆27Updated last year
• google-deepmind / spectral_ssm
  ☆31Updated 10 months ago
• google-research / hyperbo
  Pre-trained Gaussian processes for Bayesian optimization
  ☆90Updated 2 months ago
• diffprog / code
  Code for the book "The Elements of Differentiable Programming".
  ☆72Updated this week
• louiskirsch / vsml-neurips2021
  Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905
  ☆31Updated 3 years ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆49Updated last year
• Silent-Zebra / twisted-smc-lm
  ☆24Updated this week
• facebookresearch / LA-MCTS
  High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm
  ☆26Updated 2 years ago
• AndPotap / einsum-search
  ☆29Updated 4 months ago