nicolas bertagnolli nbertagnolli

nbertagnolli / tool_calling_chat_gpt.ipynb

Created December 5, 2023 04:34

Simple jupyter notebook showing how to do some tool calling in GPT.

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nbertagnolli / mnist_dropout.ipynb

Last active January 7, 2022 23:55

A notebook describing how to implement dropout in pytorch from scratch. For the associated article https://medium.com/p/67f08a87ccff/edit.

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nbertagnolli / true_dropout.py

Last active January 7, 2022 23:56

A real implementation of dropout with proper normalization.

	class TrueDropout(torch.nn.Module):

	def __init__(self, p: float=0.5):
	super(TrueDropout, self).__init__()
	self.p = p
	if self.p < 0 or self.p > 1:
	raise ValueError("p must be a probability")

	def forward(self, x):
	if self.training:

nbertagnolli / mlp_mnist.py

Created January 1, 2022 21:14

A simple mlp mnist model using custom dropout class

	class MNISTModel(torch.nn.Module):

	def __init__(self):
	super(MNISTModel, self).__init__()
	self.layer_1 = nn.Linear(28 * 28, 512)
	self.layer_2 = nn.Linear(512, 512)
	self.layer_3 = nn.Linear(512, 10)
	self.dropout = Dropout(.5)

	def forward(self, x):

nbertagnolli / dropout_basic.py

Last active January 7, 2022 23:56

The most basic form of dropout

	class Dropout(torch.nn.Module):

	def __init__(self, p: float=0.5):
	super(Dropout, self).__init__()
	self.p = p
	if self.p < 0 or self.p > 1:
	raise ValueError("p must be a probability")

	def forward(self, x):
	if self.training:

nbertagnolli / Dockerfile.ui

Created June 28, 2021 00:07

	FROM python:3.8

	RUN mkdir /ui
	COPY requirements.txt /ui
	COPY . /ui
	WORKDIR /ui

	RUN apt-get update && apt-get install -y build-essential libapr1-dev libssl-dev openssh-client

	# Install all necessary libraries into a pyenv environment

nbertagnolli / Dockerfile.api

Created June 28, 2021 00:03

	FROM python:3.8

	# Setup the api directory for your project code
	RUN mkdir /api
	COPY . /api
	COPY requirements.txt /api
	WORKDIR /api


	# Install all necessary libraries into a pyenv environment

nbertagnolli / ds-app-docker-compose.yml

Created June 27, 2021 23:18

nbertagnolli / streamlit_app.py

Last active June 27, 2021 21:39

	import streamlit as st
	import requests
	import json

	url = "http://localhost:8000/review/predict"

	# Write out the header for the page
	st.write("# Movie Review Analyzer")

	# Accept user text input

nbertagnolli / fast_api_post_example.py

Created June 20, 2021 21:56

	from fastapi import FastAPI
	from pydantic import BaseModel

	# Initialize the FastAPI App
	app = FastAPI()

	# Create a Data Model so FastAPI can read the data from the request.
	class Review(BaseModel):
	text: str