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@willccbb
willccbb / grpo_demo.py
Last active October 14, 2025 12:30
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},
@jakeju92
jakeju92 / GitHub Pages Jekyll Dockerfile
Created August 12, 2023 14:47 — forked from BillRaymond/GitHub Pages Jekyll Dockerfile
GitHub Pages and Jekyll Dockerfile
# "#################################################"
# Dockerfile to build a GitHub Pages Jekyll site
# - Ubuntu 22.04
# - Ruby 3.1.2
# - Jekyll 3.9.3
# - GitHub Pages 288
#
# This code is from the following Gist:
# https://gist.github.com/BillRaymond/db761d6b53dc4a237b095819d33c7332#file-post-run-txt
#
@BillRaymond
BillRaymond / GitHub Pages Jekyll Dockerfile
Last active June 9, 2025 21:18
GitHub Pages and Jekyll Dockerfile
# "#################################################"
# Dockerfile to build a GitHub Pages Jekyll site
# - Ubuntu 22.04
# - Ruby 3.1.2
# - Jekyll 3.9.3
# - GitHub Pages 288
#
# This code is from the following Gist:
# https://gist.github.com/BillRaymond/db761d6b53dc4a237b095819d33c7332#file-post-run-txt
#
@bitsurgeon
bitsurgeon / nvidia.md
Last active September 5, 2025 00:27
install Nvidia driver on Ubuntu with Secure Boot

Install Nvidia Driver on Ubuntu 18.04.3

Secure Boot

This section applies to machines with Secure Boot, such as ThinkPad.

  1. Before installation, switch to "Discrete Graphics" in BIOS, if both Intel and Nvidia graphics are present.
  2. During installation, make sure to select the "Install third-party software for graphics and Wi-Fi hardware and addition media formats" in "Updates and other software" screen.
  3. Select "Configure Secure Boot", and set password.
  4. Continue Ubuntu installation as normal.
@peteflorence
peteflorence / pytorch_bilinear_interpolation.md
Last active November 18, 2024 06:10
Bilinear interpolation in PyTorch, and benchmarking vs. numpy

Here's a simple implementation of bilinear interpolation on tensors using PyTorch.

I wrote this up since I ended up learning a lot about options for interpolation in both the numpy and PyTorch ecosystems. More generally than just interpolation, too, it's also a nice case study in how PyTorch magically can put very numpy-like code on the GPU (and by the way, do autodiff for you too).

For interpolation in PyTorch, this open issue calls for more interpolation features. There is now a nn.functional.grid_sample() feature but at least at first this didn't look like what I needed (but we'll come back to this later).

In particular I wanted to take an image, W x H x C, and sample it many times at different random locations. Note also that this is different than upsampling which exhaustively samples and also doesn't give us fle

@datlife
datlife / mnist_tfdata.py
Last active May 24, 2023 02:03
Training Keras model with tf.data
"""An example of how to use tf.Dataset in Keras Model"""
import tensorflow as tf # only work from tensorflow==1.9.0-rc1 and after
_EPOCHS = 5
_NUM_CLASSES = 10
_BATCH_SIZE = 128
def training_pipeline():
# #############
# Load Dataset
@misterbrownlee
misterbrownlee / jenkins-notes.md
Created September 12, 2012 18:10
Jenkins setup

I just had to set up Jenkins to use GitHub. My notes (to myself, mostly):

Detailed Instructions

For setting up Jenkins to build GitHub projects. This assumes some ability to manage Jenkins, use the command line, set up a utility LDAP account, etc. Please share or improve this Gist as needed.

Install Jenkins Plugins