CLI tool to develop StarkNet projects written in Cairo
⛵ Nile Navigate your StarkNet projects written in Cairo. Installation pip install cairo-nile Usage Install Cairo Use nile to install a given version o
OpenZeppelin Contracts written in Cairo for StarkNet, a decentralized ZK Rollup
OpenZeppelin Cairo Contracts A library for secure smart contract development written in Cairo for StarkNet, a decentralized ZK Rollup. ⚠️ WARNING! ⚠️
CLI tool to develop StarkNet projects written in Cairo
OpenZeppelin Nile ⛵ Navigate your StarkNet projects written in Cairo. Getting started Create a folder for your project and cd into it: mkdir myproject
Brax is a differentiable physics engine that simulates environments made up of rigid bodies, joints, and actuators
Brax is a differentiable physics engine that simulates environments made up of rigid bodies, joints, and actuators. It's also a suite of learning algorithms to train agents to operate in these environments (PPO, SAC, evolutionary strategy, and direct trajectory optimization are implemented).
Brax is a differentiable physics engine that simulates environments made up of rigid bodies, joints, and actuators
Brax is a differentiable physics engine that simulates environments made up of rigid bodies, joints, and actuators. It's also a suite of learning algorithms to train agents to operate in these environments (PPO, SAC, evolutionary strategy, and direct trajectory optimization are implemented).
An ongoing process to make a physics engine using python.
Simple_Physics_Engine An ongoing process to make a physics engine using python. I am using this goal as a way to learn python in and out. I am trying
cairo_kernel is a simple Jupyter kernel for Cairo a smart contract programing language for STARKs.
cairo_kernel cairo_kernel is a simple Jupyter kernel for Cairo a smart contract programing language for STARKs. Installation Install virtualenv virtua
Generating Fractals on Starknet with Cairo
StarknetFractals Generating the mandelbrot set on Starknet Current Implementation generates 1 pixel of the fractal per call(). It takes a few minutes
A cairo port for Rari Capital Vaults
crypts • Architecture contracts
├─ CryptFactory — "Factory for deploying Crypt contracts for any ERC20 token."
├─ Crypt — "Flexible, minimalist, and g
Black-Scholes library implemented as a Cairo smart contract
Cairo Black-Scholes Library Black-Scholes library implemented as a Cairo smart contract. All inputs, outputs, and internal calculations use 27-digit f
A proof-of-concept package manager for Cairo contracts/libraries
glyph A proof-of-concept package manager for Cairo contracts/libraries. Distribution through pypi. Installation through existing package managers -- p
A command line interface tool converting starknet warp transpiled outputs into readable cairo contracts.
warp-to-cairo warp-to-cairo is a simple tool converting starknet warp outputs (NethermindEth/warp) outputs into readable cairo contracts. The warp out
Cairo hooks for pre-commit
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Physics-Aware Training (PAT) is a method to train real physical systems with backpropagation.
Physics-Aware Training (PAT) is a method to train real physical systems with backpropagation. It was introduced in Wright, Logan G. & Onodera, Tatsuhiro et al. (2021)1 to train Physical Neural Networks (PNNs) - neural networks whose building blocks are physical systems.
Code for PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Relighting and Material Editing
PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Relighting and Material Editing CVPR 2021. Project page: https://kai-46.github.io/
PyMedPhys is an open-source Medical Physics python library
PyMedPhys is an open-source Medical Physics python library built by an open community that values and prioritises code sharing, review, improvement, and learning from each other. I
Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics".
Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics This repository is the official PyTorch implementation of "Physics-aware Differ
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
IDRLnet IDRLnet is a machine learning library on top of PyTorch. Use IDRLnet if you need a machine learning library that solves both forward and inver
Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics
Interaction-Network-Pytorch Pytorch Implementraion of Interaction Networks for Learning about Objects, Relations and Physics. Interaction Network is a