Viksit Gaur viksit

viksit / rank_metrics.py

Created August 20, 2017 23:57 — forked from shashankg7/rank_metrics.py

Ranking Metrics

	"""Information Retrieval metrics

	Useful Resources:
	http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
	http://www.nii.ac.jp/TechReports/05-014E.pdf
	http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
	http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
	Learning to Rank for Information Retrieval (Tie-Yan Liu)
	"""
	import numpy as np

viksit / kullback_leibler.py

Created August 31, 2017 18:38 — forked from ognis1205/kullback_leibler.py

Calculate Kullback-Leibler Divergence of Given Corpus

	#!/usr/bin/env python
	# -- coding: utf-8 --
	""" Caluculates symmetric Kullback-Leibler divergence.
	@author Shingo OKAWA
	"""
	import numpy
	import sys
	import scipy.stats as stats
	import matplotlib.pyplot as plotter
	from gensim import corpora, models, similarities, matutils

viksit / integrate.html

Last active November 17, 2017 22:05

Myra Labs Widget Integration Snippet

	<script>
	(function() {
	var w = window;
	var mcs = w.MyraConciergeSettings;
	var d = document;
	function l() {
	var s = d.createElement('script');
	s.type = 'text/javascript';
	s.async = true;
	s.src = '//cdn-prod.myralabs.com/widget/v3/widget.CUSTOMER_ID.js';

viksit / startx.sh

Created April 20, 2018 21:15

Start screen session with custom script

	viksit@gpu3-4-k80:~$ cat startx.sh
	screen -AdmS viksit -t tab0 bash
	screen -S viksit -X screen -t jup0 bash /home/viksit/j.sh
	screen -S viksit -X screen -t tsb0 bash /home/viksit/t.sh

viksit / bootstrap.html

Created November 4, 2018 17:50 — forked from kolorobot/bootstrap.html

Complete Bootstrap Starter Template with pre-defined CDN paths

	<!DOCTYPE html>
	<html lang="en">
	<head>

	<meta charset="utf-8"/>
	<meta http-equiv="X-UA-Compatible" content="IE=edge"/>
	<meta name="viewport" content="width=device-width, initial-scale=1"/>
	<meta name="description" content=""/>
	<meta name="author" content=""/>

viksit / differentiable_tool_call.py

Created July 6, 2025 04:48

	# Code for the blog post
	# Optimizing Tool Selection for LLM Workflows: Differentiable Programming with PyTorch and DSPy

	# How local, learnable routers can reduce token overhead, lower costs, and bring structure back to agentic workflows.

	# https://viksit.substack.com/p/optimizing-tool-selection-for-llm
	# Ping @viksit on X with feedback/questions

	# ----------------------------------------------------
	import torch, torch.nn as nn, torch.nn.functional as F