Search Results for "cost estimation"
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Showing 19 open source projects for "cost estimation"
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1
Tokscale
A CLI tool for tracking token usage from OpenCode, Claude Code
...Tokscale also includes rich visualizations such as contribution-graph style summaries and daily breakdowns, making it easy to spot spikes, habits, and long-term patterns. For cost estimation, it can map usage to pricing data so developers can see what their activity implies financially across different models. -
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RuView
Turn WiFi signals into real-time human sensing and spatial awareness.
RuView is an edge AI perception system that transforms ordinary WiFi signals into real-time environmental sensing and human pose estimation. Built on the concept of WiFi DensePose, it analyzes disturbances in WiFi Channel State Information (CSI) caused by human movement to reconstruct body position, breathing patterns, heart rate, and presence. Unlike traditional vision systems, RuView operates without cameras, wearables, or cloud connectivity, making it a privacy-first sensing solution. ... -
3
Claude Code Usage Monitor
Real-time Claude Code usage monitor with predictions and warnings
Claude Code Usage Monitor is a developer-focused terminal tool that provides real-time visibility into Claude Code token consumption and session behavior. The project is designed to help users avoid unexpectedly hitting usage caps by continuously tracking token burn rate, message counts, and estimated costs during active sessions. It presents analytics through a visually rich terminal interface built with modern Python tooling, making it easy to interpret usage trends at a glance. The system... -
4
Tiktoken
tiktoken is a fast BPE tokeniser for use with OpenAI's models
tiktoken is a high-performance, tokenizer library (based on byte-pair encoding, BPE) designed for use with OpenAI’s models. It handles encoding and decoding text to token IDs efficiently, with minimal overhead. Because tokenization is a fundamental step in preparing text for models, tiktoken is optimized for speed, memory, and correctness in model contexts (e.g. matching OpenAI’s internal tokenization). The repo supports multiple encodings (e.g. “cl100k_base”) and lets users switch encoding... -
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5
PyMC3
Probabilistic programming in Python
PyMC3 allows you to write down models using an intuitive syntax to describe a data generating process. Fit your model using gradient-based MCMC algorithms like NUTS, using ADVI for fast approximate inference — including minibatch-ADVI for scaling to large datasets, or using Gaussian processes to build Bayesian nonparametric models. PyMC3 includes a comprehensive set of pre-defined statistical distributions that can be used as model building blocks. Sometimes an unknown parameter or variable... -
6
Function Point Analysis
Progressive Function Point Analysis Workbook in Excel
Progressive Function Point Analysis Book Released: Print Copy: http://www.amazon.com/Progressive-Function-Point-Analysis-Estimation/dp/1502354160 EBook: http://www.amazon.com/dp/B00NH0MMAG Please support this project and its future releases ! Managers provide the architect/teams with project requirements. The architect/team returns detailed task list with estimated man hours per task making life easier for Project Managers with less guesstimates and proper business/technical process... -
7
TensorNetwork
A library for easy and efficient manipulation of tensor networks
...Common network families (MPS/TT, PEPS, MERA, tree networks) are expressed with concise APIs that encourage experimentation and comparison. The library provides automatic path finding and cost estimation, exposing when contractions will explode in memory and suggesting better orders. Because it supports backends such as NumPy, TensorFlow, PyTorch, and JAX, the same model can run on CPUs, GPUs, or TPUs with minimal code changes. Tutorials and visualization helpers make it easier to understand how network topology affects expressive power and computational cost. -
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libRSF
A robust sensor fusion library for online localization
The libRSF is an open source C++ library that provides several components that are required to estimate the state of a (robotic) system based on probabilistic methods. By applying the factor graph concept, well known from Graph SLAM, libRSF provides a robust solution for many sensor fusion problems. The general idea of factor graphs is to describe the state estimation problem as a graph of nodes (the state variables) that are connected by factors (measurements). The resulting graph... -
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Estimate
Web based Cost Estimation, Material Takeoff and Reconciliation Tool
"Estimate" is an Open Source web based Construction Cost Estimating Software designed for medium and large Civil Construction and EPC (Engineering Procurement and Construction) companies. Features include Management of Schedule of Rates, Analysis of Rates, Project Estimation (Definitive and Control), Tender Evaluation, Cost Sheet preparation, BOQ Generation, Audit and Projection. Estimate is suitable for a wide variety of trades and businesses, including but not limited to: General/Industrial Construction, Carpentry, Plumbing, Electrical, Tile Work, Concrete Work, Landscaping, Maintenance & Repair. ... -
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10
java-string-similarity
Implementation of various string similarity and distance algorithms
...A dozen of algorithms (including Levenshtein edit distance and sibblings, Jaro-Winkler, Longest Common Subsequence, cosine similarity etc.) are currently implemented. The main characteristics of each implemented algorithm are presented below. The "cost" column gives an estimation of the computational cost to compute the similarity between two strings of length m and n respectively. If the alphabet is finite, it is possible to use the method of four russians (Arlazarov et al. "On economic construction of the transitive closure of a directed graph", 1970) to speedup computation. This was published by Masek in 1980 ("A Faster Algorithm Computing String Edit Distances"). -
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ConvNet Burden
Memory consumption and FLOP count estimates for convnets
Estimation of memory consumption (e.g. feature map sizes, parameter storage). Support for multiple network definitions/architectures. Estimation of memory consumption (e.g. feature map sizes, parameter storage). Estimation of FLOPs (floating point operations) for CNN architectures. -
12
Cenobi
cost estimation and management accounting, using neural networks
Cenobi is designed for management accountants, not (only) for statisticians and data mining experts. Carefully arranged default settings make sure you can concentrate on Cenobi's many accounting features rather than worrying about setting up artificial neural networks or genetic algorithms, which are the main machine learning tools under Cenobi's hood. Cenobi's main benefits are: - ease of use - Utilizing artificial neural networks to estimate cost relationships, Cenobi is able to... -
13
Cost Modeling Tool for SoC Testing
Matlab based Cost Modeling Tool for SoC Testing
...A SoC design consists of multiple IP cores (logic, memory, analog, high speed I/O interfaces, RF, etc.) which generally use different technologies. SoC test is the appropriate combination of test solutions associated with individual cores. Cost modelling plays a vital role in reduction of test cost and time to market. This Matlab based cost estimation tool takes into consideration the various parameters and mathematical relations on account of Logic Built in Self Test (LBIST) and Memory Built in Self Test (MBIST). VLSI test engineers can take the benefit of this GUI based cost estimation tools for better test planning. -
14
FFME
Key points detection
This method is a SIFT-like one, but specifically designed for egomotion computation. The key idea is that it avoids some of the steps SIFT gives, so that it runs faster, at the cost of not being so robust against scaling. The good news is that in egomotion estimation the scaling is not so critical as in registration applications, where SIFT should be selected. -
15
PairedComparison
The Software Estimation Tool
The blog contains the milestones the project has reached, new features incorporated and step-by-step user guides. The Github Repository is here - https://github.com/sidharthamani/PairedComparison -
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...One such issue is the diversity and the number of solutions available to the decision maker. Even for algorithms very well suited for a particular problem, it is difficult - mainly due to the computational cost - to use a population large enough to ensure the likelihood of obtaining a solution close to the DMs preferences. In this work we present a novel methodology that produces additional Pareto optimal solutions from a Pareto optimal set obtained at the end run of any multi-objective optimization algorithm. This method, which we refer to as Pareto estimation, is tested against a set of 2 and 3-objective test problems and a 3-objective portfolio optimization problem to illustrate its' utility for a real-world problem.
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Software Estimation Library
Software Estimation Library
Estimate effort, time and cost to develop a software project is one of the most challenging task for IT professionals. There are several reasons for this, but the absence of technique can be a major one. To address this issue the Estimation Library has intended to be used as a tool to perform software estimation calculations in conformity with commonly estimation techiniques. -
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An application that estimates machine cycle times for the injection molding of plastic parts in a variety of resins. Useful for rough cost estimation.
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