Dominic Jack jackd

## sir.py
"""Basic Susceptible-Infectious-Recovered model."""
import numpy as np
import matplotlib.pyplot as plt


def run(
    infectious: int,
    r0=1.07,  # base daily growth rate
    vax_rate=0,
    init_vax_prop=0,

## README.md

      
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                jackd
                / README.md
            
            
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              January 24, 2021 14:43
            
              
                Generalized eigenvalue jvp implementation in jax
              
          
    After installing jax, run with:
git clone https://gist.github.com/jackd/99e012090a56637b8dd8bb037374900e
cd 99e012090a56637b8dd8bb037374900e
python dirty_test.py

  
## diff.html
<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="utf-8" />
    <title>Diff to HTML by rtfpessoa</title>

    <!--
      Diff to HTML (template.html)
      Author: rtfpessoa
    -->

## README.md

      
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                jackd
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              September 22, 2020 08:39
            
              
                SparseTensor vs CSRSparseMatrix matmul benchmark
              
          
    Sparse Mamul Benchmarks

Script for benchmarking matmuls with SparseTensor vs CSRSparseMatrix.
Installation

pip install tensorflow==2.3
pip install absl-py
git clone https://gist.github.com/jackd/93cf681c67e48c1a25de01bf860c6ab2

  
## README.md

      
              4 files
            
          
              1 fork
            
          
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              4 stars
            
          
                jackd
                / README.md
            
            
              Last active
              August 2, 2022 12:41
            
              
                tensorflow graphics keras port for PR #155
              
          
    Get my forked tensorflow graphics repo and switch to appropriate branch
git clone https://github.com/jackd/graphics.git
cd graphics
git checkout sparse-feastnet
pip install -e .
cd ..
Get this gist:


## main.py
import trimesh
import numpy as np


def fix_visual(visual):
    from PIL import Image
    if isinstance(visual, trimesh.visual.ColorVisuals):
        return
    material = visual.material
    assert(hasattr(material, 'image'))

## main.py
import trimesh
trimesh.load('./rabbit.obj')

## main.py
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import numpy as np

try:
    from PIL import Image
except ImportError:
    Image = None

## conf.gin
layers.Dense.kernel_regularizer = @regularizers.l2()
regularizers.l2.l = 1e-4

## cloud_data.npy

      
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                jackd
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              March 26, 2019 13:42
            
              
                trimesh issue with minimum sphere
              
          
            View raw
	"""Basic Susceptible-Infectious-Recovered model."""
	import numpy as np
	import matplotlib.pyplot as plt


	def run(
	infectious: int,
	r0=1.07, # base daily growth rate
	vax_rate=0,
	init_vax_prop=0,
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8" />
	<title>Diff to HTML by rtfpessoa</title>

	<!--
	Diff to HTML (template.html)
	Author: rtfpessoa
	-->
	import trimesh
	import numpy as np


	def fix_visual(visual):
	from PIL import Image
	if isinstance(visual, trimesh.visual.ColorVisuals):
	return
	material = visual.material
	assert(hasattr(material, 'image'))
	from __future__ import absolute_import
	from __future__ import division
	from __future__ import print_function

	import numpy as np

	try:
	from PIL import Image
	except ImportError:
	Image = None
	layers.Dense.kernel_regularizer = @regularizers.l2()
	regularizers.l2.l = 1e-4