bsdayo

# Add this snippet to your $PROFILE to make Bash's autocompletion available to PowerShell on Linux.
# Warning: adds ~500ms initialization time.
# References: https://brbsix.github.io/2015/11/29/accessing-tab-completion-programmatically-in-bash/
#             https://learn.microsoft.com/en-us/powershell/module/microsoft.powershell.core/register-argumentcompleter

# Find all commands
$commands = bash -c 'source /usr/share/bash-completion/bash_completion && complete' | awk '{ print $NF }'
$commands += ls /usr/share/bash-completion/completions

$commands | ForEach-Object {

CPPAlien

import torch
import torch.nn as nn
import torch.optim as optim
import gym
import numpy as np
import pickle

# Hyperparameters
H = 200  # Number of hidden layer neurons
batch_size = 10  # Every how many episodes to do a param update?

Artefact2

Which GGUF is right for me? (Opinionated)

Good question! I am collecting human data on how quantization affects outputs. See here for more information: ggerganov/llama.cpp#5962

In the meantime, use the largest that fully fits in your GPU. If you can comfortably fit Q4_K_S, try using a model with more parameters.

llama.cpp feature matrix

See the wiki upstream: https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix

rvrsh3ll

NOTE

These are NOT product / license keys that are valid for Windows activation.
These keys only select the edition of Windows to install during setup, but they do not activate or license the installation.

Index

• Windows 11
• RTM Generic Keys

hitorilabs

I was wondering why it took so long for my deep learning rig to fully boot up. It literally takes 5 minutes to go from reboot to ssh service start. Unlike desktop motherboards, the ROMED8-2T has two 10G RDMA ethernet controllers and a port for the IPMI interface.

For a while I thought I must have done something wrong - but it turns out when there are free, unmapped ports it will block boot. To fix this, you just need to make the other interfaces optional in your /etc/netplan/*.yaml

network:
  ethernets:
    enoXnpX:
      addresses:
 - ...

Wra7h

function Get-ProcessPipes{
    param(
        [Parameter(Mandatory=$false)]
        [string]$CSV,
        [Parameter(Mandatory=$false)]
        [switch]$All
    )

    Add-Type -TypeDefinition  @"
        using System;

rkitover

$erroractionpreference = 'stop'

$releases = 'https://files.lhmouse.com/nano-win/'

ri -r -fo ~/Downloads/nano-installer -ea ignore
mkdir ~/Downloads/nano-installer | out-null
pushd ~/Downloads/nano-installer
curl -sLO ($releases + (
    iwr -usebasicparsing $releases | % links |
    ? href -match '\.7z$' | select -last 1 | % href

haluptzok

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

sharavsambuu

# References :
# - https://stackoverflow.com/questions/61776425/logic-for-real-time-algo-trading-expert

import pytz
import pandas as pd
import MetaTrader5 as mt5
import time
from datetime import datetime
from threading import Timer

mklement0

<#

  Prerequisites: PowerShell version 2 or above.
  License: MIT
  Author:  Michael Klement <[email protected]>

  DOWNLOAD, from PowerShell version 3 or above:

    irm https://gist.github.com/mklement0/243ea8297e7db0e1c03a67ce4b1e765d/raw/Out-HostColored.ps1 | iex