Alternatives and similar repositories for mathematics_conjectures

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

• facebookresearch / SymbolicMathematics
  Deep Learning for Symbolic Mathematics
  ☆547Updated 4 years ago
• google-deepmind / neural_networks_chomsky_hierarchy
  Neural Networks and the Chomsky Hierarchy
  ☆211Updated last year
• google-deepmind / enn
  ☆311Updated 7 months ago
• google-deepmind / clrs
  ☆509Updated 2 weeks ago
• google-deepmind / chex
  ☆887Updated 2 months ago
• google / learned_optimization
  ☆785Updated 2 months ago
• google-deepmind / distrax
  ☆602Updated this week
• google / evojax
  ☆920Updated last year
• vopani / jaxton
  100 exercises to learn JAX
  ☆592Updated 3 years ago
• nnaisense / evotorch
  Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
  ☆1,095Updated 2 weeks ago
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆352Updated 6 months ago
• jxbz / agd
  Automatic gradient descent
  ☆215Updated 2 years ago
• facebookresearch / MathsFromExamples
  Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François…
  ☆181Updated 4 years ago
• ellisk42 / ec
  ☆536Updated 2 years ago
• MilesCranmer / symbolic_deep_learning
  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
  ☆765Updated last year
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• bgavran / Category_Theory_Resources
  List of resources for learning Category Theory
  ☆271Updated 11 months ago
• google-deepmind / tracr
  ☆548Updated last year
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆309Updated 4 months ago
• thegregyang / GP4A
  Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…
  ☆247Updated 5 years ago
• tech-srl / RASP
  An interpreter for RASP as described in the ICML 2021 paper "Thinking Like Transformers"
  ☆320Updated last year
• mle-infrastructure / mle-hyperopt
  Lightweight Hyperparameter Optimization 🚂
  ☆150Updated last year
• mlcommons / algorithmic-efficiency
  MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…
  ☆400Updated last week
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆484Updated 3 years ago
• RobertTLange / evosax
  Evolution Strategies in JAX 🦎
  ☆674Updated last month
• GilpinLab / dysts
  Hundreds of strange attractors
  ☆496Updated last month
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆595Updated 10 months ago
• gordicaleksa / get-started-with-JAX
  The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series o…
  ☆760Updated last year
• Sohl-Dickstein / fractal
  The boundary of neural network trainability is fractal
  ☆217Updated last year
• KindXiaoming / BIMT
  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
  ☆173Updated 2 years ago