Best AI tools for< Log Recipes >

Recipe Database & Food Journal is an AI-powered platform that offers powerful recipe management, personal restaurant reviews, automatic meal suggestions, and a culinary community for users to craft, savor, and share their culinary adventures. Users can effortlessly manage recipes, log meals, search and retrieve culinary experiences, and receive personalized meal recommendations. The platform aims to enhance users' cooking and dining experiences by providing a seamless and organized approach to food management.

Rerun is an SDK, time-series database, and visualizer for temporal and multimodal data. It is used in fields like robotics, spatial computing, 2D/3D simulation, and finance to verify, debug, and explain data. Rerun allows users to log data like tensors, point clouds, and text to create streams, visualize and interact with live and recorded streams, build layouts, customize visualizations, and extend data and UI functionalities. The application provides a composable data model, dynamic schemas, and custom views for enhanced data visualization and analysis.

CalCount is an AI-powered meal logging app that makes it easy to track your food intake and stay on top of your nutrition goals. With CalCount, you can simply describe your meals or take a picture, and the AI will automatically log your food and calculate your calories, macros, and other nutritional information. You can also share your log with anyone else, and they will have real-time access to your data.

MonitUp is an AI-powered time tracking software that helps you track computer activity, gain insights into work habits, and boost productivity. It uses artificial intelligence to generate personalized suggestions to help you increase productivity and work more efficiently. MonitUp also offers a performance appraisal feature for remote employees, allowing you to evaluate and improve their performance based on objective data.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

Neptune is an MLOps stack component for experiment tracking. It allows users to track, compare, and share their models in one place. Neptune is used by scaling ML teams to skip days of debugging disorganized models, avoid long and messy model handovers, and start logging for free.

ProductlyAI is an AI-powered product management tool that helps you automatically log and track product feedback from all your customer conversations. It integrates with your existing tools, such as Gong, Intercom, and Zoom, and uses AI to find, categorize, and summarize feedback in a single place. This makes it easy to identify trends, prioritize features, and make data-driven decisions about your product roadmap.

Resolvd is an AI-powered incident resolution platform that creates a knowledge base of logs, data sources, and apps to autonomously diagnose and resolve incidents. It helps cut down response time, reduce manual log review efforts, and streamline data querying with automated anomaly detection. Resolvd integrates with various systems like Slack, Jira, and PagerDuty to deliver insights in real-time and supercharge incident response.

CursorLens is an open-source dashboard designed to provide insights for AI-assisted coding within the Cursor.sh IDE. It allows users to log AI code generations, track usage, and control AI models, including local ones. Users can run CursorLens locally or utilize the upcoming hosted version for enhanced convenience and efficiency.

Chat Uncensored AI is the latest and most advanced 2024 AI model. It has zero censorship, bias, or restrictions. You don't need to log in, and it's 100% private and super fast. It works in any language and is trusted by over 10,000 users worldwide.

Roboto AI is an AI-powered platform that enables users to curate and analyze robotics data at scale. It offers features such as data management, actions to transform data, natural language search, signal search, and support for common data formats. Users can leverage AI capabilities to search and analyze their robotics data efficiently. Roboto AI empowers users to process data, collaborate with teams, and visualize insights from multiple log formats.

Vibely is an AI-powered application that seamlessly integrates with Google Calendar to automatically record and log product feedback from Zoom calls. It offers features such as automatic recording of Zoom calls, summarizing team calls, detecting feature requests using AI, providing insights based on past calls, and cost-effective pricing compared to competitors. With Vibely, users can enhance collaboration, sharing, and learning from their calls effortlessly.

Venice is a permissionless AI application that offers an alternative to popular AI apps by prioritizing user privacy and delivering uncensored, unbiased machine intelligence. It utilizes leading open-source AI technology to ensure privacy while providing intelligent responses. Venice aims to empower users with open intelligence and a censorship-free experience.

Journable is a food and fitness journal that uses AI to make tracking your diet and exercise as easy as having a conversation. With Journable, you can set your own health goals, track your progress, and get instant nutritional and exercise insights based on your conversations. Journable's AI understands a wide variety of foods, from homemade meals to restaurant dishes, and can even analyze your workouts to give you a full picture of your calorie intake and burn. Whether you're looking to lose weight, gain muscle, or simply maintain a healthy lifestyle, Journable provides the tools and insights you need to succeed.

Hints is a sales AI assistant that helps sales reps to get more hours in a day while keeping CRM data accurate automatically. It works with Salesforce, Hubspot, and Pipedrive. With Hints, sales reps can log and retrieve CRM data on any device with chat and voice, get guidance on their next steps, and reminders of what's missing. Hints can also help sales reps to create complex CRM updates in seconds, find duplicates, suggest actions, automatically create associations, and look up sales data through chat and voice commands. Hints can assist sales reps in building the perfect sales process for their team and provides fast onboarding for new sales reps.

Calorieasy is an AI-powered calorie tracker that simplifies healthy eating. With its advanced AI technology, Calorieasy can instantly recognize and log food items, providing accurate calorie data and nutritional information. The app also offers personalized calorie goals, meal tracking, and progress monitoring to help users achieve their fitness goals.

Tidalflow is an AI-powered weight loss coach application that helps users achieve lasting weight loss through personalized workout and diet plans. The app, backed by Google's AI fund, offers features such as daily check-ins, meal logging through photos, progress tracking summaries, and real-time support from an AI coach named Marcus. Tidalflow aims to provide a hyper-personalized experience to users, guiding them towards their weight loss goals with the latest scientific research and data-backed insights.

FitAI is an AI-powered nutrition tracking app that helps users understand their nutritional intake and make healthier choices. The app features a variety of tools to make tracking easy, including a food recognition system, an image logging feature, and an AI trainer. FitAI is designed for health-conscious individuals who want to take control of their nutrition and improve their overall well-being.

FoodIntake is an AI-powered food tracking app that helps users make healthier food choices. It features a large database of branded foods, AI food analysis, and personalized nutrition recommendations. The app is easy to use and provides users with a comprehensive view of their diet, including calorie and nutrient intake, macronutrient distribution, and food processing levels.

Centa is an AI-powered calorie counter application that simplifies tracking calories and macros by allowing users to take a photo of their meal or describe it. The app utilizes cutting-edge AI models to analyze the food items, portions, and nutritional information. Centa offers a user-friendly experience for individuals looking to monitor their diet effortlessly and accurately. With features like unlimited scans, accurate calorie estimation, and compatibility with homemade meals, Centa is a convenient tool for maintaining a healthy lifestyle.

This repository contains custom recipes for H2O Driverless AI, which is an Automatic Machine Learning platform for the Enterprise. Custom recipes are Python code snippets that can be uploaded into Driverless AI at runtime to automate feature engineering, model building, visualization, and interpretability. Users can gain control over the optimization choices made by Driverless AI by providing their own custom recipes. The repository includes recipes for various tasks such as data manipulation, data preprocessing, feature selection, data augmentation, model building, scoring, and more. Best practices for creating and using recipes are also provided, including security considerations, performance tips, and safety measures.

The Alignment Handbook provides robust training recipes for continuing pretraining and aligning language models with human and AI preferences. It includes techniques such as continued pretraining, supervised fine-tuning, reward modeling, rejection sampling, and direct preference optimization (DPO). The handbook aims to fill the gap in public resources on training these models, collecting data, and measuring metrics for optimal downstream performance.

LitGPT is a command-line tool designed to easily finetune, pretrain, evaluate, and deploy 20+ LLMs **on your own data**. It features highly-optimized training recipes for the world's most powerful open-source large-language-models (LLMs).

The fsdp_qlora repository provides a script for training Large Language Models (LLMs) with Quantized LoRA and Fully Sharded Data Parallelism (FSDP). It integrates FSDP+QLoRA into the Axolotl platform and offers installation instructions for dependencies like llama-recipes, fastcore, and PyTorch. Users can finetune Llama-2 70B on Dual 24GB GPUs using the provided command. The script supports various training options including full params fine-tuning, LoRA fine-tuning, custom LoRA fine-tuning, quantized LoRA fine-tuning, and more. It also discusses low memory loading, mixed precision training, and comparisons to existing trainers. The repository addresses limitations and provides examples for training with different configurations, including BnB QLoRA and HQQ QLoRA. Additionally, it offers SLURM training support and instructions for adding support for a new model.

Lhotse is a Python library designed to make speech and audio data preparation flexible and accessible. It aims to attract a wider community to speech processing tasks by providing a Python-centric design and an expressive command-line interface. Lhotse offers standard data preparation recipes, PyTorch Dataset classes for speech tasks, and efficient data preparation for model training with audio cuts. It supports data augmentation, feature extraction, and feature-space cut mixing. The tool extends Kaldi's data preparation recipes with seamless PyTorch integration, human-readable text manifests, and convenient Python classes.

This repository provides an LLM-driven audio codec model, LLM-Codec, for building multi-modal LLMs (text and audio modalities). The model enables frozen LLMs to achieve multiple audio tasks in a few-shot style without parameter updates. It compresses the audio modality into a well-trained LLMs token space, treating audio representation as a 'foreign language' that LLMs can learn with minimal examples. The proposed approach supports tasks like speech emotion classification, audio classification, text-to-speech generation, speech enhancement, etc., demonstrating feasibility and effectiveness in simple scenarios. The LLM-Codec model is open-sourced to facilitate research on few-shot audio task learning and multi-modal LLMs.

Kumo search is an end-to-end search engine framework that supports full-text search, inverted index, forward index, sorting, caching, hierarchical indexing, intervention system, feature collection, offline computation, storage system, and more. It runs on the EA (Elastic automic infrastructure architecture) platform, enabling engineering automation, service governance, real-time data, service degradation, and disaster recovery across multiple data centers and clusters. The framework aims to provide a ready-to-use search engine framework to help users quickly build their own search engines. Users can write business logic in Python using the AOT compiler in the project, which generates C++ code and binary dynamic libraries for rapid iteration of the search engine.

ML-Bench is a tool designed to evaluate large language models and agents for machine learning tasks on repository-level code. It provides functionalities for data preparation, environment setup, usage, API calling, open source model fine-tuning, and inference. Users can clone the repository, load datasets, run ML-LLM-Bench, prepare data, fine-tune models, and perform inference tasks. The tool aims to facilitate the evaluation of language models and agents in the context of machine learning tasks on code repositories.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

TorchRL is an open-source Reinforcement Learning (RL) library for PyTorch. It provides pytorch and **python-first** , low and high level abstractions for RL that are intended to be **efficient** , **modular** , **documented** and properly **tested**. The code is aimed at supporting research in RL. Most of it is written in python in a highly modular way, such that researchers can easily swap components, transform them or write new ones with little effort.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

TigerBot is a cutting-edge foundation for your very own LLM, providing a world-class large model for innovative Chinese-style contributions. It offers various upgrades and features, such as search mode enhancements, support for large context lengths, and the ability to play text-based games. TigerBot is suitable for prompt-based game engine development, interactive game design, and real-time feedback for playable games.

CodeCompanion.nvim is a Neovim plugin that provides a Copilot Chat experience, adapter support for various LLMs, agentic workflows, inline code creation and modification, built-in actions for language prompts and error fixes, custom actions creation, async execution, and more. It supports Anthropic, Ollama, and OpenAI adapters. The plugin is primarily developed for personal workflows with no guarantees of regular updates or support. Users can customize the plugin to their needs by forking the project.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

Tools4AI is a Java-based Agentic Framework for building AI agents to integrate with enterprise Java applications. It enables the conversion of natural language prompts into actionable behaviors, streamlining user interactions with complex systems. By leveraging AI capabilities, it enhances productivity and innovation across diverse applications. The framework allows for seamless integration of AI with various systems, such as customer service applications, to interpret user requests, trigger actions, and streamline workflows. Prompt prediction anticipates user actions based on input prompts, enhancing user experience by proactively suggesting relevant actions or services based on context.

LongRecipe is a tool designed for efficient long context generalization in large language models. It provides a recipe for extending the context window of language models while maintaining their original capabilities. The tool includes data preprocessing steps, model training stages, and a process for merging fine-tuned models to enhance foundational capabilities. Users can follow the provided commands and scripts to preprocess data, train models in multiple stages, and merge models effectively.

Nutritional assistant for diet tracking and advice. Any language available. Type: "Start" to start a new diet tracking session.

I'm designed to help You analyze any logs like Linux system logs, Windows logs, any security logs, access logs, error logs, etc. Please do not share information that You would like to keep private. The author does not collect or process any personal data.

A digital gym log for tracking workouts and offering exercise tips.

Formal, technical expert in creating realistic, fictional IT logs. Contact: [email protected]

Drop your Support Log Here, Allowing it to automatically generate concise summaries reporting to the tech team.

Azeroth Data Sage: A detailed Warcraft Log analysis with direct API access. Give the Sage link to a log, ask a question, and the Data Sage will provide!

Obsidian wine log assistant with code block outputs

I help you with all your sysadmin tasks, from setting up your server to scaling your already exsisting one. I can help you with understanding the long list of log files and give you solutions to the problems.

数据和日志分析专家，使用中文回答

Practical diet tracking assistant for health and wellness.

Creates bash scripts with automated boilerplate

Guides in structuring CPD reflections into formal documents.

Generiert realistische Berichtsheft-Einträge.