cryptowealth-technology Goto Github PK

painless-linux

Boot Linux on the Switch without imx_usb_loader - Windows, Linux, Mac OS & Android

patchnets

Open source repository for the code accompanying the paper 'PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations'.

pbns

pde-surrogate

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

pdeswithpinns

Solving Partial Differential Equations using Physics-Informed Neural Networks

percnn

Physics-encoded recurrent convolutional neural network

perslay

Implementation of the PersLay layer for persistence diagrams

photoprism

Photos App powered by Go and Google TensorFlow 🌈 ✨

phycrnet

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

phycrnet-1

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

physr

Physics-informed deep super-resolution of spatiotemporal data

pinns

Physics-Informed Neural Networks for solving PDEs

pinns-1

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pixel-nerf

PixelNeRF Official Repository

pixelorama

A free & open-source 2D sprite editor, made with the Godot Engine! Available on Windows, Linux, macOS and the Web!

planercnn

PlaneRCNN detects and reconstructs piece-wise planar surfaces from a single RGB image

plenoctree

PlenOctrees: NeRF-SH Training & Conversion

pndm

The official implementation for Pseudo Numerical Methods for Diffusion Models on Manifolds (ICLR 2022) and a generic framework for DDIM-like models

pool-sniper

Uniswap V2-styled router new pool sniping in under 250 LOC.

post--differentiable-parameterizations

A powerful, under-explored tool for neural network visualizations and art.

post--selforg-textures

Self-Organising Textures

post--understanding-rl-vision

Understanding RL vision Distill article

pqcrypto-lweke

FrodoKEM: Learning with Errors Key Encapsulation. FrodoKEM is a family of key-encapsulation mechanisms that are designed to be conservative yet practical post-quantum constructions whose security derives from cautious parameterizations of the well-studied learning with errors problem.

project-supercells-ml

This project aims to predict rotation in supercell thunderstorms using Random Forests and Convolutional Neural Networks.

promnesia

Another piece of your extended mind

provable-training-and-verification-approaches-towards-robust-neural-networks

This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular datasets and paper categorization.

pss

Code for the ICCV2021 paper "Personalized Image Semantic Segmentation"

psychotherapy-app-ios

👩‍💼📡 Psychotherapy app with video and chat built using Stream Chat and Dolby.io

pybobyqa

Python-based Derivative-Free Optimization with Bound Constraints

pycda

Code for Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach