joeblackwaslike

How to use python with the Cursor AI IDE

Cursor.app has a critical vulnerability that should be taken seriously!

Please see my post below on this as sooon as possible! https://gist.github.com/joeblackwaslike/752b26ce92e3699084e1ecfc790f74b2?permalink_comment_id=5716065#gistcomment-5716065

Steps to patch latest cursor

These instructions should work with the latest versions of cursor which requires a much different strategy than the older versions where you could simply point cursor to the MS extension marketplace and call it a day.

Version details

jcubic

How to setup a literally free CDN

1. Create repo on GitHub where you'll put your files.
2. Use jsDeliver or statically to get your assets.

Here is repo I'm using:

https://github.com/jcubic/static

And links to files look like this:

dvschultz

def slerp(t, v0, v1, DOT_THRESHOLD=0.9995):
    '''
    Spherical linear interpolation
    Args:
        t (float/np.ndarray): Float value between 0.0 and 1.0
        v0 (np.ndarray): Starting vector
        v1 (np.ndarray): Final vector
        DOT_THRESHOLD (float): Threshold for considering the two vectors as
                               colineal. Not recommended to alter this.
    Returns:

TengdaHan

Multi-node-training on slurm with PyTorch

What's this?

• A simple note for how to start multi-node-training on slurm scheduler with PyTorch.
• Useful especially when scheduler is too busy that you cannot get multiple GPUs allocated, or you need more than 4 GPUs for a single job.
• Requirement: Have to use PyTorch DistributedDataParallel(DDP) for this purpose.
• Warning: might need to re-factor your own code.
• Warning: might be secretly condemned by your colleagues because using too many GPUs.

weiaicunzai

def compute_mean_std(cifar100_dataset):
    """compute the mean and std of cifar100 dataset

    Args:
        cifar100_training_dataset or cifar100_test_dataset
        witch derived from class torch.utils.data
    
    Returns:
        a tuple contains mean, std value of entire dataset
    """

dannote

#!/usr/bin/swift

// DISCLAIMER

// This script modifies an unencrypted file associated with the trial version of Final Cut Pro. 
// Under the DMCA (17 U.S.C. § 1201), this modification does not qualify as circumvention of a technological 
// protection measure (TPM), as it does not involve bypassing encryption, authentication, or similar protections. 
// Distributing this code is therefore legal under the DMCA.

// This script is intended for educational and research purposes, such as exploring trial-related file structures, 

Prasad9

import cv2

def add_gaussian_noise(X_imgs):
    gaussian_noise_imgs = []
    row, col, _ = X_imgs[0].shape
    # Gaussian distribution parameters
    mean = 0
    var = 0.1
    sigma = var ** 0.5
    

olih

Processing JSON using jq

jq is useful to slice, filter, map and transform structured json data.

Installing jq

On Mac OS

brew install jq

rxaviers

People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue:

chhh

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tomcat

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