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@willccbb
willccbb / grpo_demo.py
Last active December 10, 2025 08:36
GRPO Llama-1B
# train_grpo.py
#
# See https://github.com/willccbb/verifiers for ongoing developments
#
"""
citation:
@misc{brown2025grpodemo,
title={Granular Format Rewards for Eliciting Mathematical Reasoning Capabilities in Small Language Models},
author={Brown, William},
@nviet
nviet / stable-diffusion-webui-termux.md
Last active October 14, 2025 09:50
Install stable-diffusion-webui on Termux (Android) + PRoot

Install stable-diffusion-webui on Termux (Android) + PRoot

This will guide you on installing AUTOMATIC1111/stable-diffusion-webui on Termux (Android) + PRoot Distro. Make sure that you have a high-end phone to actually make this usable. On my phone with 8GB RAM, launch the webui alone take at least ~ 2 GB RAM, thus making it impossible to load any model and process further.

1. Prerequisites

First you have to install Termux and install PRoot. Then install and login to Ubuntu in PRoot

2. Installing AUTOMATIC1111/stable-diffusion-webui

@ilomon10
ilomon10 / client.py
Created February 27, 2020 05:52
Send image as base64 buffer from client (python opencv) to server (nodejs) using SocketIO
import cv2
import socketio #python-socketio by @miguelgrinberg
import base64
sio = socketio.Client()
sio.connect('http://x.x.x.x:xxxx)
cam = cv2.VideoCapture(0)
while (True):
@raveenb
raveenb / ssh_into_android.md
Last active November 17, 2025 02:55
SSH into Android

Connecting to an Android device over SSH

Initial Setup

Install Android App Termux from APKPure or AppStore. If the app exists, just delete and re-install it to get the latest version, The APK can be downloaded from https://apkpure.com/termux/com.termux/ Install the APK using by running

adb install ~/Downloads/Termux_v0.73_apkpure.com.apk
@shubhamwagh
shubhamwagh / TexturedMeshSteps.md
Last active September 25, 2025 22:55
Steps to create textured mesh from point cloud using Meshlab

Steps to create Textured Mesh from Point Cloud using Meshlab

Get your PointCloud into MeshLab

  • Import the pointcloud file in ".ply" file format in Meshlab. Before importing make sure you do some pre-processing / cleaning on point cloud so as to ease the process of meshing.

Point Cloud Simplification and Normals Computation

  • Next we need to reduce the number of point samples for smooth meshing.
    • So go to Filters -> Point Set -> Point Cloud Simplification. Enter Number of samples circa 5% of original number of points. Make sure Best Sample Heuristic is checked.
  • After point cloud simplification, make sure to select Simplified point cloud in the Show Layer Dialog on the right hand side. If not visible, it can be opened by navigating to View -> Show Layer Dialog. Now we need to compute normals for point set.
  • So go to Filters -> Point Set -> Compute normals for point sets . Enter Neighbour num between 10 - 100. Initially try with 10 and
@willprice
willprice / KINETICS_LABELS.md
Last active November 29, 2025 03:00
Kinetics Dataset Labels (name to ID)

Kinetics Numeric/String labels

These are mapping files that go between class IDs to class names. These are generated from the training CSV files from each dataset by collecting the unique classes, sorting them, and then numbering them from 0 upwards.

@shawwwn
shawwwn / uping.py
Last active November 30, 2025 16:05
µPing: Ping library for MicroPython
# µPing (MicroPing) for MicroPython
# copyright (c) 2018 Shawwwn <[email protected]>
# License: MIT
# Internet Checksum Algorithm
# Author: Olav Morken
# https://github.com/olavmrk/python-ping/blob/master/ping.py
# @data: bytes
def checksum(data):
if len(data) & 0x1: # Odd number of bytes
@korakot
korakot / colab_download.py
Created November 15, 2017 08:40
Google colab file upload/download
files.download('example.txt') # from colab to browser download
@saghiralfasly
saghiralfasly / dataset_to_tfrecord.py
Last active April 29, 2022 06:16
Python script to create tfrecords from pascal VOC data set format (one class detection) for Object Detection API Tensorflow, where it divides dataset into (90% train.record and 10% test.record)
import os
import io
import glob
import hashlib
import pandas as pd
import xml.etree.ElementTree as ET
import tensorflow as tf
import random
from PIL import Image
@zakkak
zakkak / .git-commit-template
Last active August 31, 2025 12:05 — forked from adeekshith/.git-commit-template.txt
This commit message template that helps you write great commit messages and enforce it across your team.
# [<tag>] (If applied, this commit will...) <subject> (Max 72 char)
# |<---- Preferably using up to 50 chars --->|<------------------->|
# Example:
# [feat] Implement automated commit messages
# (Optional) Explain why this change is being made
# |<---- Try To Limit Each Line to a Maximum Of 72 Characters ---->|
# (Optional) Provide links or keys to any relevant tickets, articles or other resources
# Example: Github issue #23