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@willccbb
willccbb / grpo_demo.py
Last active April 28, 2025 01:48
GRPO Llama-1B
# train_grpo.py
#
# See https://github.com/willccbb/verifiers for ongoing developments
#
import re
import torch
from datasets import load_dataset, Dataset
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import LoraConfig
from trl import GRPOConfig, GRPOTrainer
const PIE = 3.14;
function f() {
console.log('function f inside module a');
}
function f123() {
//not accessible
}
@ygrenzinger
ygrenzinger / CleanArchitecture.md
Last active April 8, 2025 17:22
Summary of Clean Architecture by Robert C. Martin

Summary of book "Clean Architecture" by Robert C. Martin

Uncle Bob, the well known author of Clean Code, is coming back to us with a new book called Clean Architecture which wants to take a larger view on how to create software.

Even if Clean Code is one of the major book around OOP and code design (mainly by presenting the SOLID principles), I was not totally impressed by the book.

Clean Architecture leaves me with the same feeling, even if it's pushing the development world to do better, has some good stories and present robust principles to build software.

The book is build around 34 chapters organised in chapters.

@tomsing1
tomsing1 / luigi_first_steps.md
Last active April 11, 2025 18:01
First steps with the Luigi workflow manager

First steps with the Luigi workflow manager

As an introduction into Luigi, I am following this tutorial with some modifications, e.g. installation using conda.

The problems and solutions described in the examples below have led to the development of sciluigi,

@linar-jether
linar-jether / simple_python_datasource.py
Last active September 10, 2024 19:46
Grafana python datasource - using pandas for timeseries and table data. inspired by and compatible with the simple json datasource ---- Up-to-date version maintained @ https://github.com/panodata/grafana-pandas-datasource
from flask import Flask, request, jsonify, json, abort
from flask_cors import CORS, cross_origin
import pandas as pd
app = Flask(__name__)
cors = CORS(app)
app.config['CORS_HEADERS'] = 'Content-Type'
@deehzee
deehzee / autoreload.md
Last active December 1, 2021 19:48
Auto reload of modules in jupyter notebook

Module autoreload

To auto-reload modules in jupyter notebook (so that changes in files *.py doesn't require manual reloading):

# for auto-reloading external modules
# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython
%load_ext autoreload
%autoreload 2
@MrTrustor
MrTrustor / clean-docker-for-mac.sh
Last active November 21, 2023 11:38
This script cleans the Docker.qcow2 file that takes a lot of disk space with Docker For Mac. You can specify some Docker images that you would like to keep.
#!/bin/bash
# Copyright 2017 Théo Chamley
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in the Software
# without restriction, including without limitation the rights to use, copy, modify, merge,
# publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons
# to whom the Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all copies or
@wassname
wassname / SnowCastleStemmer.py
Last active April 8, 2019 08:52
A wrapper around the nltk snowball stemmer with a reverse lookup table
import ntlk
class SnowCastleStemmer(nltk.stem.SnowballStemmer):
""" A wrapper around snowball stemmer with a reverse lookip table """
def __init__(self, *args, **kwargs):
super(self.__class__, self).__init__(*args, **kwargs)
self._stem_memory = defaultdict(set)
# switch stem and memstem
self._stem=self.stem
@derhuerst
derhuerst / _.md
Last active January 13, 2025 19:24
List of HAFAS API Endpoints
@hest
hest / gist:8798884
Created February 4, 2014 06:08
Fast SQLAlchemy counting (avoid query.count() subquery)
def get_count(q):
count_q = q.statement.with_only_columns([func.count()]).order_by(None)
count = q.session.execute(count_q).scalar()
return count
q = session.query(TestModel).filter(...).order_by(...)
# Slow: SELECT COUNT(*) FROM (SELECT ... FROM TestModel WHERE ...) ...
print q.count()