Skip to content

Instantly share code, notes, and snippets.

View DongChen06's full-sized avatar

Dong Chen DongChen06

View GitHub Profile
@karpathy
karpathy / min-char-rnn.py
Last active November 18, 2024 08:51
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)
@kdubovikov
kdubovikov / pytorch_mnist.py
Created June 18, 2017 07:26
PyTorch MNIST example
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
from torch.autograd import Variable
# download and transform train dataset
train_loader = torch.utils.data.DataLoader(datasets.MNIST('../mnist_data',
download=True,
class PIController:
def __init__(self):
#Maintain a History of Variables
self.yHist = []
self.tHist = []
self.uHist = []
self.eSum = 0
def initialize(self):