karpathy

"""
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)

bishboria

These links no longer work. Springer have pulled the free plug.

Graduate texts in mathematics

duplicates = multiple editions

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

---

retorquere

#!/usr/bin/env python3

import zipfile
import sys
import re
import xml.etree.ElementTree as ET

namespaces = {
  'a': 'http://schemas.openxmlformats.org/drawingml/2006/main',
  'r': 'http://schemas.openxmlformats.org/officeDocument/2006/relationships',

minrk

apaszke

import torch                                                                                          
                                                                                                      
def jacobian(y, x, create_graph=False):                                                               
    jac = []                                                                                          
    flat_y = y.reshape(-1)                                                                            
    grad_y = torch.zeros_like(flat_y)                                                                 
    for i in range(len(flat_y)):                                                                      
        grad_y[i] = 1.                                                                                
        grad_x, = torch.autograd.grad(flat_y, x, grad_y, retain_graph=True, create_graph=create_graph)
        jac.append(grad_x.reshape(x.shape))                                                      

LeCoupa

#!/bin/bash
#####################################################
# Name: Bash CheatSheet for Mac OSX
# 
# A little overlook of the Bash basics
#
# Usage:
#
# Author: J. Le Coupanec
# Date: 2014/11/04

Garciat

from abc import ABC
from abc import abstractmethod
from abc import abstractproperty
from dataclasses import dataclass, field
from typing import Any
from typing import AsyncGenerator
from typing import Awaitable
from typing import Callable
from typing import Generator
from typing import Generic

benbr8

class Counter:
    def __init__(self, n=3) -> None:
        self.n = n
        self._cnt = 0

    def __await__(self):
        for _ in range(self.n):
            r = yield self._cnt
            print(f"incrementing by {r}")

rspeer