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import torch
import torch.nn as nn
from torch.autograd import Variable
import numpy as np
import torch.utils.data as data_utils
import pandas as pd
import os
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
import pickle as pkl
@mvoelk
mvoelk / resnet-152_keras.py
Last active March 11, 2022 08:06
Resnet-152 pre-trained model in TF Keras 2.x
# -*- coding: utf-8 -*-
import cv2
import numpy as np
from tensorflow.keras.layers import Input, Dense, Conv2D, MaxPool2D, AvgPool2D, Activation
from tensorflow.keras.layers import Layer, BatchNormalization, ZeroPadding2D, Flatten, add
from tensorflow.keras.optimizers import SGD
from tensorflow.keras.models import Model
from tensorflow.keras import initializers
@voluntas
voluntas / react.rst
Last active May 25, 2022 11:57
React コトハジメ

React コトハジメ

日時

2017-01-02

@voluntas

バージョン

2.1.0

URL

https://voluntas.githu.io/

突っ込みは Twitter @voluntas まで。

@sinhrks
sinhrks / vis_ml2.py
Created November 30, 2014 08:40
Animate Multilayer Perceptron using 2D XOR Data
# -*- coding: utf-8 -*-
"""
This code uses "MLP" class defined in:
http://deeplearning.net/tutorial/mlp.html#tips-and-tricks-for-training-mlps
"""
import os
import sys
import time
@voluntas
voluntas / shiguredo_bot_system_kbkz.rst
Last active April 17, 2019 16:41
時雨堂 BOT サーバー (すごいErlangをゆかいに学ぶ会)
@ne-sachirou
ne-sachirou / http2_study_client.ex
Created May 27, 2014 07:38
Try to implement HTTP2 client in Elixir.
defmodule Http2StudyClient do
@moduledoc """
http2study
"""
@doc "GET HTTP/2.0"
def get domain, port do
{:ok, sock} = :gen_tcp.connect domain, port, [:binary, {:packet, 0}]
try do
{:ok, data} = send_connection_preface sock