jk

javascript:q=location.href;if(document.getSelection){d=document.getSelection();}else{d='';};p=document.title;void(open('https://labs.kagi.com/ai/sum?url='+encodeURIComponent(q),'Kagi Universal Summarizer','toolbar=no,width=710,height=685'));

youheiakimoto

import warnings
from collections import deque
import math
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt

class DdCma:
    """dd-CMA: CMA-ES with diagonal decoding [1]

nicksam112

#Evolution Strategies with Keras
#Based off of: https://blog.openai.com/evolution-strategies/
#Implementation by: Nicholas Samoray

#README
#Meant to be run on a single machine
#APPLY_BIAS is currently not working, keep to False
#Solves Cartpole as-is in about 50 episodes
#Solves BipedalWalker-v2 in about 1000

jFransham

Achieving warp speed with Rust

Contents:

• Number one optimization tip: don't
• Never optimize blindly
• Don't bother optimizing one-time costs
• Improve your algorithms
• CPU architecture primer
• Keep as much as possible in cache
• Keep as much as possible in registers

njp947

import argparse
import numpy
import keras
import gym
import cma

parser = argparse.ArgumentParser()
parser.add_argument("environment")
args = parser.parse_args()

karpathy

"""
This is a batched LSTM forward and backward pass
"""
import numpy as np
import code

class LSTM:
  
  @staticmethod
  def init(input_size, hidden_size, fancy_forget_bias_init = 3):

akumria

#!/usr/bin/env python

import os
import urllib2
import json
import subprocess

user=None
repo=None