654 Open source projects that are alternatives of or similar to CudaSHA256

Audited & minimal JS implementation of SHA2, SHA3, RIPEMD, BLAKE2/3, HMAC, HKDF, PBKDF2 & Scrypt

BitCracker is the first open source password cracking tool for memory units encrypted with BitLocker

Node.js module implementing Merkle tree algorithm

Fast and simple application that allows you to generate and compare hashes from files and text

A simple brute forcer written in GO for SHA1, SHA256, SHA512, MD5 and bcrypt

A small, self-contained SHA256 and HMAC-SHA256 implementation.

A C++ SHA256 implementation.

Simple tool to calc Golang module checksum of go.mod and module dir.

Simple hash algorithms in OCaml

A modern and easy-to-use cryptographic library for .NET Core based on libsodium

HashCobra Hash Cracking tool.

Generate SHA-256 hashes (in Node and the Browser)

A cross-platform desktop utility for computing message digests or checksums

Crypto library for Node/ES6/Typescript/Browser.

📝 File hashing and checking shell extension

Crack hashes in seconds.

C++11 header-only message digest library

A small collection of cryptographic functions based on the JavaScript WebCrypto API.

SHA-2 algorithm implementations

fHash - an open source files hash calculator for Windows and macOS

Lightning fast hash functions using hand-tuned WebAssembly binaries

Easily compare SHA/BLAKE2 sums.

Golang Merkle Tree Implementation. With hash.Hash interface for streaming support

continuous energy monte carlo neutron transport in general geometries on GPUs

CUDA bindings for Ruby

JetScan : GPU accelerated portable RGB-D reconstruction system

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

Hashtopolis - A Hashcat wrapper for distributed hashcracking

Lightweight Cuda Renderer with Python Wrapper.

CUDA tool set for non-C++ languages that provides similar functionality like Thrust, with NVRTC at its core.

Let's jump into CUDA development with Rust

Implementation of Macklin, Miles, and Matthias Müller. "Position based fluids.". Visual Studio 2015 + CUDA 8.0

Astrophysics program simulating the evolution of star systems based on the fast multipole method on adaptive Octrees

GPU Raytracer from scratch in C++/CUDA

Generate displacement fields with known volume changes

bazel.cmake mimics the behavior of bazel to simplify the usability of CMake

A stream processing framework for high-throughput applications.

BriefMatch real-time GPU optical flow

A simple but fast bloomfilter written in Python

Node.js object hash library with properties/arrays sorting to provide constant hashes. It also provides a method that returns sorted object strings that can be used for object comparison without hashes.

GPU-accelerated N-Body particle simulator with visualizer.

A simple gravitational N-body simulation in less than 100 lines of C code, with CUDA optimizations.

Lane depertaure and Yolo objection detection C++ Linux

Several simple examples for popular neural network toolkits calling custom CUDA operators.

Code accompanying my blog post on k-means in Python, C++ and CUDA

Experimental parallel compression algorithm

Cracked Old School RuneScape cache file names

This repository consists for gpu bootcamp material for HPC and AI

[内测中]前向式Python环境快捷封装工具，快速将Python打包为EXE并添加CUDA、NoAVX等支持。

an implementation of parallel linear BVH (LBVH) on GPU

An efficient C++17 GPU numerical computing library with Python-like syntax

Official python agent for using the distributed hashcracker Hashtopolis

FPGA core for SHA256d mining targeting Lattice iCE40 devices.

Achieve peak performance on x86 CPUs and NVIDIA GPUs

GitHub Action to install CUDA

AssemblyScript implementation of SHA256

A set of high-level APIs over PointyCastle and CryptoUtils to hash and verify passwords securely.

Implementation of A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application

All-in-one mixed multi-GPU (nVidia, AMD, Intel) & CPU miner solves proof of work to mine supported EIP918 tokens in a single instance (with API).

An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.