hannes-brt

#! /usr/bin/env python

"""
The MIT License (MIT)

Copyright (c) 2013 Hannes Bretschneider

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

kastnerkyle

# Alec Radford, Indico, Kyle Kastner
# License: MIT
"""
Convolutional VAE in a single file.
Bringing in code from IndicoDataSolutions and Alec Radford (NewMu)
Additionally converted to use default conv2d interface instead of explicit cuDNN
"""
import theano
import theano.tensor as T
from theano.compat.python2x import OrderedDict

apple2373

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

# this is a quick implementation of http://arxiv.org/abs/1508.06576
# BUT! This is kind of dirty. Lots of hard coding.　

import numpy as np
import math
from chainer import cuda, Function, FunctionSet, gradient_check, Variable, optimizers
import chainer.functions as Fu

matpalm

import numpy as np

def slerp(p0, p1, n):
    # https://en.wikipedia.org/wiki/Slerp
    norm = np.linalg.norm(p0) * np.linalg.norm(p1)
    dot = np.sum(p0 * p1 / norm)
    theta_0 = np.arccos(dot)
    sin_theta_0 = np.sin(theta_0)
    interp = []
    for t in np.linspace(0.0, 1.0, n):

eyeseast

I have an updated version of this on my blog here: https://chrisamico.com/blog/2023-01-14/python-setup/.

Python

This is my recommended Python setup, as of Fall 2022. The Python landscape can be a confusing mess of overlapping tools that sometimes don't work well together. This is an effort to standardize our approach and environments.

Tools and helpful links:

• Python docs: https://docs.python.org/3/
• Python Standard Library:  - Start here when you're trying to solve a specific problem

erikbern

import io
import sys

import modal

stub = modal.Stub(
    image=modal.Image.debian_slim()
    .apt_install(["git"])
    .pip_install(
        [