Best AI tools for< manage your budget >

LocalPulse IO's AI Trip Planner is a comprehensive travel planning tool that utilizes artificial intelligence to create personalized and optimized itineraries based on your interests and preferences. It offers a wide range of features to help you plan your perfect trip, including destination recommendations, activity suggestions, and real-time updates on events and attractions. Whether you're a seasoned traveler or planning your first adventure, the AI Trip Planner is your ultimate companion for creating a truly unforgettable experience.

Monarch Money is an all-in-one money management platform that helps you track your finances, collaborate with your partner or financial advisor, and achieve your financial goals. It offers a variety of features, including budgeting, investment tracking, transaction categorization, and financial planning. Monarch Money is available on the web, iOS, and Android.

Capchair is a personal finance application that leverages AI technology to provide users with a seamless and efficient way to manage their finances. The app offers instant analysis, on-demand insights, and a comprehensive view of all financial data. Users can set budgets, goals, and connect their accounts to track their financial progress. Capchair prioritizes security by implementing bank-level security measures to safeguard users' financial information.

Expense Sorted is an AI-powered tool that automates the categorization of expenses, saving users time and effort. It seamlessly integrates with Google Sheets, ensuring data privacy and protection. The streamlined interface and customizable categories make it suitable for both personal and business use.

RivetAI is an AI copilot for pre-production in the film industry. It offers a range of AI-powered features to streamline script breakdown, script coverage, character breakdown, budgeting, shooting schedule creation, and team collaboration. The platform prioritizes security and privacy, with multilingual support and flexible pricing plans to cater to different production needs.

wallet.AI is an AI application that provides smart machines to inform users about their financial behavior. Founded in San Francisco in 2012, wallet.AI builds intelligent engines that analyze millions of pieces of data to help users make better daily financial decisions. The application aims to assist people in making informed financial choices by leveraging artificial intelligence technology.

M1-Project is a suite of AI-powered marketing tools designed to help small businesses and startups develop and execute effective marketing strategies. The platform includes tools for generating ideal customer profiles (ICPs), creating marketing strategies, generating Facebook ads, and analyzing website homepages. M1-Project is designed to be easy to use, even for those with no marketing experience, and offers a 7-day money-back guarantee.

Wally is the world's first AI-powered personal finance app. It helps you track your spending, create budgets, and plan for the future. Wally is available on iOS and Android devices.

Forecast is an AI-powered resource and project management software that helps businesses optimize their resources, plan their projects, and manage their tasks more efficiently. It offers a range of features such as resource management, project management, financial management, artificial intelligence, business intelligence, and reporting, timesheets, and integrations. Forecast is trusted by businesses of all sizes, from small businesses to large enterprises, and has been recognized for its innovation and effectiveness by leading industry analysts.

Timmy is an AI spending buddy designed to help users save money faster and grow their wealth. It provides personalized spending suggestions, tracks spending in real-time, suggests budgets, and offers weekly tasks to achieve financial goals. Users can subscribe to the newsletter for product updates and releases, but should exercise caution and seek professional advice for financial decisions.

wallet.AI is an AI application that provides smart machines to inform users about their financial behavior and help them make better daily financial decisions. Founded in San Francisco in 2012, wallet.AI builds intelligent engines that analyze millions of data pieces to offer personalized financial insights. The application aims to empower users with AI-driven tools for managing their finances effectively and making informed decisions.

ad:personam is an AI-powered Self Serve DSP platform for programmatic advertising, designed to empower businesses of any size to thrive in the programmatic advertising space. It offers a comprehensive suite of programmatic advertising solutions, cutting-edge AI-driven insights and planning tools, and transparent pricing. With features like multi-format ad uploads, cookieless targeting, and in-depth reporting, ad:personam aims to simplify programmatic advertising with AI efficiency and effectiveness.

Dicer.ai is a performance marketing SaaS platform that helps clients optimize their ad creatives and campaign strategies to drive more conversions. Our platform is built by expert marketers and powered by AI, bridging the gap between creative, analytics, and media buying.

eezyCollab is an AI-powered influencer marketing tool that helps businesses find and collaborate with influencers. It uses AI to match businesses with the right influencers for their campaigns, and it also provides a bulk emailing feature to help businesses reach out to multiple influencers at once. eezyCollab is affordable and easy to use, making it a great option for businesses of all sizes.

Drafton is an AI-powered proposal builder that automates the creation of business proposals and streamlines the entire workflow from start to finish. It offers a range of product solutions, templates, and pricing options to help users easily generate professional proposals. With features like team collaboration, eSign, budget management, and more, Drafton simplifies the proposal process and enhances productivity. The platform ensures secure proposal creation and provides personalized solutions for various business needs.

Cushion is an AI-powered tool designed to simplify bill management and credit building. It securely connects to your accounts, organizes bills, and offers insights to help you budget better. With features like automatic bill tracking, virtual Cushion card payments, and credit history building, Cushion aims to make bill payments painless and credit building seamless.

Fyle is an intelligent expense management software that automates expense reporting, credit card reconciliation, and employee reimbursements. It integrates with accounting software and offers features like text message receipt tracking, mobile app, and AI-powered data extraction.

Wonderplan is an AI-powered trip planning tool that helps users create personalized itineraries based on their preferences and budget. It offers features such as AI-generated accommodation recommendations, offline access, and seamless itinerary management. Wonderplan is free to use and provides a user-friendly interface for effortless trip planning.

MonAi is an AI-powered expense tracker that simplifies the process of recording expenses by allowing users to input data in a conversational manner, similar to sending a voice message to a friend. The AI technology automatically categorizes and summarizes the expenses, eliminating the need for manual data entry. Users can securely store their financial information in their private iCloud account without the need for a separate login. Additionally, MonAi enables users to easily share and collaborate on expense tracking. With a user-friendly interface and advanced AI capabilities, MonAi revolutionizes the way individuals manage their finances.

Gliytch is an AI-powered content generator that helps users create high-quality text, images, and videos. The platform offers a variety of features, including a customizable AI dashboard, payment gateways, multilingual support, and AI vision and voice capabilities. Gliytch is designed to be easy to use, with a simple interface that makes it easy to create and manage AI creations. The platform also offers a variety of pricing plans to fit different needs and budgets.

Council is an open-source platform designed for the rapid development and deployment of customized generative AI applications using teams of agents. It extends the LLM tool ecosystem by providing advanced control flow and scalable oversight for AI agents. Users can create sophisticated agents with predictable behavior by leveraging Council's powerful approach to control flow using Controllers, Filters, Evaluators, and Budgets. The framework allows for automated routing between agents, comparing, evaluating, and selecting the best results for a task. Council aims to facilitate packaging and deploying agents at scale on multiple platforms while enabling enterprise-grade monitoring and quality control.

OSWorld is a benchmarking tool designed to evaluate multimodal agents for open-ended tasks in real computer environments. It provides a platform for running experiments, setting up virtual machines, and interacting with the environment using Python scripts. Users can install the tool on their desktop or server, manage dependencies with Conda, and run benchmark tasks. The tool supports actions like executing commands, checking for specific results, and evaluating agent performance. OSWorld aims to facilitate research in AI by providing a standardized environment for testing and comparing different agent baselines.

ClearML Server is a backend service infrastructure for ClearML, facilitating collaboration and experiment management. It includes a web app, RESTful API, and file server for storing images and models. Users can deploy ClearML Server using Docker, AWS EC2 AMI, or Kubernetes. The system design supports single IP or sub-domain configurations with specific open ports. ClearML-Agent Services container allows launching long-lasting jobs and various use cases like auto-scaler service, controllers, optimizer, and applications. Advanced functionality includes web login authentication and non-responsive experiments watchdog. Upgrading ClearML Server involves stopping containers, backing up data, downloading the latest docker-compose.yml file, configuring ClearML-Agent Services, and spinning up docker containers. Community support is available through ClearML FAQ, Stack Overflow, GitHub issues, and email contact.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

The Artificial Intelligence Controller Interface (AICI) lets you build Controllers that constrain and direct output of a Large Language Model (LLM) in real time. Controllers are flexible programs capable of implementing constrained decoding, dynamic editing of prompts and generated text, and coordinating execution across multiple, parallel generations. Controllers incorporate custom logic during the token-by-token decoding and maintain state during an LLM request. This allows diverse Controller strategies, from programmatic or query-based decoding to multi-agent conversations to execute efficiently in tight integration with the LLM itself.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

The Universal Numbers Library is a header-only C++ template library designed for universal number arithmetic, offering alternatives to native integer and floating-point for mixed-precision algorithm development and optimization. It tailors arithmetic types to the application's precision and dynamic range, enabling improved application performance and energy efficiency. The library provides fast implementations of special IEEE-754 formats like quarter precision, half-precision, and quad precision, as well as vendor-specific extensions. It supports static and elastic integers, decimals, fixed-points, rationals, linear floats, tapered floats, logarithmic, interval, and adaptive-precision integers, rationals, and floats. The library is suitable for AI, DSP, HPC, and HFT algorithms.

BoCoEL is a tool that leverages Bayesian Optimization to efficiently evaluate large language models by selecting a subset of the corpus for evaluation. It encodes individual entries into embeddings, uses Bayesian optimization to select queries, retrieves from the corpus, and provides easily managed evaluations. The tool aims to reduce computation costs during evaluation with a dynamic budget, supporting models like GPT2, Pythia, and LLAMA through integration with Hugging Face transformers and datasets. BoCoEL offers a modular design and efficient representation of the corpus to enhance evaluation quality.

ClearML is a suite of tools designed to streamline the machine learning workflow. It includes an experiment manager, MLOps/LLMOps, data management, and model serving capabilities. ClearML is open-source and offers a free tier hosting option. It supports various ML/DL frameworks and integrates with Jupyter Notebook and PyCharm. ClearML provides extensive logging capabilities, including source control info, execution environment, hyper-parameters, and experiment outputs. It also offers automation features, such as remote job execution and pipeline creation. ClearML is designed to be easy to integrate, requiring only two lines of code to add to existing scripts. It aims to improve collaboration, visibility, and data transparency within ML teams.

The Vertex AI SDK for Python is a library that provides a convenient way to use the Vertex AI API. It offers a high-level interface for creating and managing Vertex AI resources, such as datasets, models, and endpoints. The SDK also provides support for training and deploying custom models, as well as using AutoML models. With the Vertex AI SDK for Python, you can quickly and easily build and deploy machine learning models on Vertex AI.

Admyral is an open-source Cybersecurity Automation & Investigation Assistant that provides a unified console for investigations and incident handling, workflow automation creation, automatic alert investigation, and next step suggestions for analysts. It aims to tackle alert fatigue and automate security workflows effectively by offering features like workflow actions, AI actions, case management, alert handling, and more. Admyral combines security automation and case management to streamline incident response processes and improve overall security posture. The tool is open-source, transparent, and community-driven, allowing users to self-host, contribute, and collaborate on integrations and features.

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=