someshfengde’s gists

someshfengde / fine.py

Created March 12, 2024 06:14

	import json
	import pandas as pd
	import plotly.graph_objects as go
	import numpy as np

	# aggregating multiple sentiments
	def aggregate_multiple_sentiments(sentiments):
	if len(sentiments) == 0:
	return 'Neutral'
	sentiment_count = {

someshfengde / temp_file.py

Created March 6, 2024 10:22

	#%%
	import requests
	base_url = "http://127.0.0.1:8000"

	# Endpoint path for generating a streaming response
	endpoint_path = "/generate_streaming_response"

	# Full URL to the API endpoint
	url = base_url + endpoint_path

someshfengde / output.py

Last active December 11, 2023 10:52

output

	import datetime

	import requests
	from flask import Flask, jsonify, request

	app = Flask(__name__)

	# The URL of the database API (note that the endpoint in the example may not work)
	DB_API_URL = "https://app.ylytic.com/ylytic/test"

someshfengde / blog_10.py

Created August 18, 2023 05:30

smooth_loss_function(out1, torch.tensor(400)), smooth_loss_function(out2, torch.tensor(420))

someshfengde / blog_3.py

Created August 18, 2023 05:26

	model = LinearRegressor()
	loss_function = torch.nn.L1Loss()
	def train_model(model, loss_function):
	optimizer = torch.optim.Adam(model.parameters(), lr = 0.05)
	losses = []
	for epoch in range(200):# let's train this model for 1000 epochs
	loss_output = []
	for (input,output) in tqdm(zip(X,y)):
	input = torch.tensor([input]).to(torch.float32)
	output = torch.tensor([output]).to(torch.long)

someshfengde / blog_2.py

Created August 18, 2023 05:25

	# let's take a sample data here we are taking integer in range 1 to 20 and output as 20 multiple this will be
	# enough for understanding loss function
	X = np.arange(1,20)
	y = X * 20

someshfengde / blog_1.py

Created August 18, 2023 05:25

	import torch
	import numpy as np
	from tqdm import tqdm
	import plotly.express as px # for visualisation
	import plotly.io as pio
	pio.renderers.default = 'iframe'

	class LinearRegressor(torch.nn.Module):
	"""
	Building a simple linear regression model with pytorch

someshfengde / gist:1638e7583dc09c7b5831a47e76930b5b

Created June 3, 2023 06:36

	## tldraw link

	https://www.tldraw.com/r/v2_K6fVYupNBLleeGnEWr_FD?viewport=-2801%2C-997%2C8043%2C4421&page=page%3A94tU4XAecUE6Z4VJurSZf

	## dataset and github

	another dataset I've found this one is free to download

	https://zenodo.org/record/7152317#.Yz6mJ9JByC0

someshfengde / Pesticide-biochar dataset.csv

Created May 29, 2023 10:23

someshfengde / Threadprog.java

Created April 24, 2023 03:49

Exot 2

	class threads extends Thread
	{
	threads()
	{
	super("User Threads");
	System.out.println("User thread is created " + this);
	start();
	}
	public void run()
	{

Somesh someshfengde