Jeremy Heffner jerheff

Data Scientist / Programmer

jerheff / Dockerfile

Created March 22, 2025 19:42

Example Dockerfile using uv provided python

	# syntax = docker/dockerfile:1

	ARG BASE_IMAGE=public.ecr.aws/amazonlinux/amazonlinux:2023

	FROM ${BASE_IMAGE} AS builder

	COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
	ENV UV_COMPILE_BYTECODE=1 UV_LINK_MODE=copy
	ENV UV_PYTHON_INSTALL_DIR=/python UV_PYTHON_PREFERENCE=only-managed

jerheff / sentiment.py

Last active July 24, 2023 08:53

	# Example use of function calling to return structured data from GPT API

	import asyncio
	import json
	import os
	import sys

	import openai

	openai.api_key = os.getenv("OPENAI_API_KEY")

jerheff / gist:179cbef6abbaace3c1ef685482f2b09f

Created March 12, 2017 01:30

TensorFlow CPU build with optimizations

bazel build -c opt --copt=-mavx --copt=-mavx2 --copt=-mfma --copt=-msse4.2 //tensorflow/tools/pip_package:build_pip_package

jerheff / binary_crossentropy_with_ranking.py

Created January 9, 2016 01:08

Experimental binary cross entropy with ranking loss function


	def binary_crossentropy_with_ranking(y_true, y_pred):
	""" Trying to combine ranking loss with numeric precision"""
	# first get the log loss like normal
	logloss = K.mean(K.binary_crossentropy(y_pred, y_true), axis=-1)

	# next, build a rank loss

	# clip the probabilities to keep stability
	y_pred_clipped = K.clip(y_pred, K.epsilon(), 1-K.epsilon())

jerheff / R-tutorial-examples.R

Last active September 4, 2015 16:17