akii-i

# Convert cloneofsimo lora format to AUTOMATIC1111 webui format (kohya's format)
# Will generate extra embedding files along with the converted lora
# Usage: python lora_convert.py path_to_lora output_folder [--overwrite]
#   path_to_lora_file  : path to lora safetensors in cloneofsimo lora format
#   output_folder      : path to folder for results in AUTOMATIC1111 webui format
#   overwrite          : overwrite the results in output_folder
# Example: python lora_convert.py .\lora_krk.safetensors .\

from safetensors import safe_open
from safetensors.torch import save_file

aormorningstar

import numpy as np

def rotation(v1, v2):
    """
    Compute a matrix R that rotates v1 to align with v2.
    v1 and v2 must be length-3 1d numpy arrays.
    """
    # unit vectors
    u = v1 / np.linalg.norm(v1)
    Ru = v2 / np.linalg.norm(v2)

Mr4k

rolux

# git clone https://github.com/NVlabs/stylegan2
import os
import numpy as np
from scipy.interpolate import interp1d
from scipy.io import wavfile
import matplotlib.pyplot as plt
import PIL.Image
import moviepy.editor

import dnnlib

vadimkantorov

# ported from https://github.com/pvigier/perlin-numpy/blob/master/perlin2d.py

import torch
import math

def rand_perlin_2d(shape, res, fade = lambda t: 6*t**5 - 15*t**4 + 10*t**3):
    delta = (res[0] / shape[0], res[1] / shape[1])
    d = (shape[0] // res[0], shape[1] // res[1])
    
    grid = torch.stack(torch.meshgrid(torch.arange(0, res[0], delta[0]), torch.arange(0, res[1], delta[1])), dim = -1) % 1

jcreinhold

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
rpca_gpu

implementations of RPCA on the GPU (leveraging pytorch) 
for low-rank and sparse matrix decomposition as well as 
a nuclear-norm minimization routine via singular value 
thresholding for matrix completion

hlorand

Video stabilization using VidStab and FFMPEG

** Step 1 **

Install ffmpeg with the vidstab plugin.

• OSX: Install via Homebrew - brew install ffmpeg --with-libvidstab
• Linux: download binaries here (vidstab included)
• Windows: download binaries here (vidstab included)

Kaixhin

"""
The Annotated Transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
Note: Only includes basic example, not real world example or multi-GPU training
"""


import numpy as np
import torch
import torch.nn as nn

nosoop

/**
 * [TF2] Jungle Inferno Equipment
 */
#pragma semicolon 1
#include <sourcemod>

#include <tf2_stocks>
#include <clientprefs>
#include <sdkhooks>

aaronpolhamus

n02119789 1 kit_fox
n02100735 2 English_setter
n02110185 3 Siberian_husky
n02096294 4 Australian_terrier
n02102040 5 English_springer
n02066245 6 grey_whale
n02509815 7 lesser_panda
n02124075 8 Egyptian_cat
n02417914 9 ibex
n02123394 10 Persian_cat