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@Mistobaan
Mistobaan / tensorflow_cuda_osx.md
Last active July 25, 2023 18:54
How to enable cuda support for tensor flow on Mac OS X (Updated on April:2016 Tensorflow 0.8)

These instructions will explain how to install tensorflow on mac with cuda enabled GPU suport. I assume you know what tensorflow is and why you would want to have a deep learning framework running on your computer.

Prerequisites

Make sure to update your homebrew formulas

brew update

Build tensorflow on OSX with NVIDIA CUDA support (GPU acceleration)

These instructions are based on Mistobaan's gist but expanded and updated to work with the latest tensorflow OSX CUDA PR.

Requirements

OS X 10.10 (Yosemite) or newer

@dwilkie
dwilkie / docker-cheat-sheat.md
Last active May 12, 2024 14:08
Docker Cheat Sheet

Build docker image

$ cd /path/to/Dockerfile
$ sudo docker build .

View running processes

@chriseth
chriseth / snarktest.solidity
Last active December 3, 2023 07:03
zkSNARKs test code
// This file is MIT Licensed.
//
// Copyright 2017 Christian Reitwiessner
// Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
// The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF O
@itzmeanjan
itzmeanjan / test_montgomery_arithmetic.py
Last active October 22, 2024 05:08
Montgomery Modular Arithmetic for 256 -bit `secp256k1` Prime Field
#!/usr/bin/python3
from math import ceil
from typing import List, Tuple
from random import randint
def bit_count(num: int) -> int:
'''
Same as len(bin(num)[2:])