Best AI tools for< Gain Weight >

Meals.Chat is an AI-powered food tracking app that helps you track your calories, macros, and caffeine consumption. Simply send a photo of your food or drink to the app, and it will automatically calculate the nutritional information. You can also manually enter your meals if you forget to take a picture. Meals.Chat can help you set and achieve your weight loss or weight gain goals. It can also help you track your caffeine intake to improve your sleep and reduce jitters.

MealProAI is an AI-powered meal planning app that helps users create personalized meal plans based on their dietary preferences, nutritional goals, and budget. The app offers a variety of features to make meal planning easy and convenient, including the ability to select meal prep days, discover meals that match ingredients users already have, and generate meals based on available time and ingredients. MealProAI is designed to help users save time and money on meal planning and to make healthy eating more accessible.

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.

Gain is an AI-powered hybrid finance platform that offers transparent investment opportunities for users to earn returns on their ETH and USDC. The platform integrates DeFi protocols with algorithmic trading to generate alpha for digital-asset pools. Gain sets a new industry standard with daily third-party audits, full reserve tokens, vetted pool managers, and community alignment through GAIN token holder voting. The platform aims for attractive returns while prioritizing community engagement and transparency.

Opinly is an AI-powered competitive analysis tool designed to provide businesses with real-time data tracking and comprehensive competitive analysis. It offers services such as competitive price analysis, product comparison, landing page analysis, SEO monitoring, and competitor email monitoring. Opinly helps businesses gain strategic insights, understand market dynamics, make informed decisions, and stay ahead in the competitive market.

Recontact is an AI-powered tool designed to help users analyze and gain insights from user calls efficiently. By leveraging AI technology, Recontact can process and extract valuable information from user conversations, enabling users to understand customer needs, identify trends, and generate detailed reports in a matter of minutes. The tool streamlines the process of listening to call transcripts, making affinity diagrams, and understanding customer requirements, saving users valuable time and effort. Recontact is best suited for early-stage founders, user research teams, and customer support teams looking to analyze user interviews, validate startup ideas, and improve customer interactions.

Palmyst is an AI-powered palm reading application that offers personalized, instant, and interactive palm readings to help users gain insights into various aspects of their lives, including financial health, career opportunities, personal growth, physical health, and relationships. The app uses advanced AI technology to analyze palm lines and patterns, providing accurate and detailed insights. Users can ask questions based on the readings to make informed decisions. Palmyst aims to objectively assess the ancient teachings of palmistry using modern research, data analysis, and AI, driven by evidence and scientific inquiry.

Supascout is an AI-powered tool designed to analyze App Store reviews and provide actionable insights to help developers understand user feedback, prioritize features, and address pain-points. By leveraging AI technology, Supascout helps users gain a competitive edge by making informed decisions based on comprehensive data analysis. The tool scours through the most recent reviews in specific regions to offer valuable insights and recommendations for app improvement.

Optimove is a Customer-Led Marketing Platform that leverages a real-time Customer Data Platform (CDP) to orchestrate personalized multichannel campaigns optimized by AI. It enables businesses to deliver personalized experiences in real-time across various channels such as web, app, and marketing channels. With a focus on customer-led marketing, Optimove helps brands improve customer KPIs through data-driven campaigns and top-tier personalization. The platform offers a range of resources, including industry benchmarks, marketing guides, success stories, and best practices, to help users achieve marketing mastery.

Skillora is an AI Interviewer Tool designed to help individuals practice and improve their interview skills in a safe and realistic environment. Users can take personalized mock interviews with the AI interviewer, receive instant feedback, and access learning resources to enhance their performance. Skillora offers customizable mock interviews tailored to any job description, dynamic follow-up questions, and clear scoring for each response. The application aims to boost users' confidence and success in landing their dream jobs.

Re-View is an AI-powered platform that enables users to conduct surveys that capture more than words by utilizing user-friendly video survey forms. The platform allows users to understand emotions, uncover insights, and collect more and better data through authentic emotional connections. With features like automatic insights, efficient research at scale, stunning simplicity, and powerful research capabilities, Re-View offers a practical pricing model that makes research accessible to all. Users can easily create surveys, analyze responses with AI assistance, and gain valuable research reports to support decision-making.

SkyScribe is an AI-powered tool designed to help users schedule posts on BlueSky, a social media platform, and optimize their content strategy for audience growth and revenue generation. It offers features such as smart scheduling, audience analytics, engagement rate tracking, and monetization tools. Users can easily connect their BlueSky account, schedule posts in advance, and leverage AI-powered content suggestions for maximum impact. SkyScribe aims to streamline the content creation process and empower users to grow their online presence effectively.

O'Reilly Media is an AI-powered platform offering technology and business training for individuals, businesses, government, and higher education institutions. With over 5,000 companies relying on their digital courses, O'Reilly provides resources to upskill teams in tools and technologies driving business outcomes. The platform features courses, certifications, interactive learning, live events, and insights reporting. O'Reilly leverages generative AI tools and large language models to help employees stay ahead in their tech careers. The platform also offers diversity scholarships and awards to promote inclusivity and recognize excellence in technical learning. With a history of over 40 years, O'Reilly has been sharing knowledge through books, tech conferences, and online learning content.

Kira Systems is a machine learning contract search, review, and analysis software that helps businesses identify, extract, and analyze content in their contracts and documents. It uses patented machine learning technology to extract concepts and data points with high efficiency and accuracy. Kira also has built-in intelligence that streamlines the contract review process with out-of-the-box smart fields. Businesses can also create their own smart fields to find specific data points using Kira's no-code machine learning tool. Kira's adaptive workflows allow businesses to organize, track, and export results. Kira has a partner ecosystem that allows businesses to transform how teams work with their contracts.

ZOYO is an AI-powered platform offering a range of tools tailored for the real estate industry. It leverages artificial intelligence to provide advanced analytics, predictive modeling, and data-driven insights to real estate professionals. ZOYO's tools streamline property valuation, market analysis, and investment decision-making processes, empowering users to make informed and strategic choices in the dynamic real estate market.

Competitor Research is an AI-powered tool that helps businesses analyze and understand their competitors. It provides a comprehensive research report on direct, indirect, substitute, and potential competitors, including insights on search traffic, keywords, backlinks, target audience, pricing strategy, website performance, and customer engagement. The tool uses AI to save time and deliver actionable insights to help businesses grow and stay ahead of the competition.

Perspect is an AI-powered platform designed for high-performance software teams. It offers real-time insights into team contributions and impact, optimizing developer experience, and rewarding high-performers. With 50+ integrations, Perspect enables visualization of impact, benchmarking performance, and uses machine learning models to identify and eliminate blockers. The platform is deeply integrated with web3 wallets and offers built-in reward mechanisms. Managers can align resources around crucial KPIs, identify top talent, and prevent burnout. Perspect aims to enhance team productivity and employee retention through AI and ML technologies.

AppMonsta is an AI-powered platform that provides comprehensive app market insights, data analytics, and inventory management solutions. It offers APIs, data access, and AI capabilities to empower users with intuitive insights for decision-making processes. The platform aims to simplify app understanding through natural language generation and maximize revenue by selling smart. AppMonsta caters to various industries such as education, AdTech, and gaming, offering tools and techniques to drive success in app development and marketing strategies.

ChartPixel is an AI-assisted data analysis platform that empowers users to effortlessly generate charts, insights, and actionable statistics in just 30 seconds. The platform is designed to demystify data and analysis, making it accessible to users of all skill levels. ChartPixel combines the power of AI with domain expertise to provide secure and reliable output, ensuring trustworthy results without compromising data privacy. With user-friendly features and educational tools, ChartPixel helps users clean, wrangle, visualize, and present data with ease, catering to both beginners and professionals.

Gastrograph AI is a cutting-edge artificial intelligence platform that empowers food and beverage companies to optimize their products for consistent market success. Leveraging the world's largest sensory database, Gastrograph AI provides deep insights into consumer preferences, enabling companies to develop new products, enter new markets, and optimize existing products with confidence. With Gastrograph AI, companies can reduce time to market costs, simplify product development, and gain access to trustworthy insights, leading to measurable results and a competitive edge in the global marketplace.

Phi-3-MLX is a versatile AI framework that leverages both the Phi-3-Vision multimodal model and the Phi-3-Mini-128K language model optimized for Apple Silicon using the MLX framework. It provides an easy-to-use interface for a wide range of AI tasks, from advanced text generation to visual question answering and code execution. The project features support for batched generation, flexible agent system, custom toolchains, model quantization, LoRA fine-tuning capabilities, and API integration for extended functionality.

AutoGPTQ is an easy-to-use LLM quantization package with user-friendly APIs, based on GPTQ algorithm (weight-only quantization). It provides a simple and efficient way to quantize large language models (LLMs) to reduce their size and computational cost while maintaining their performance. AutoGPTQ supports a wide range of LLM models, including GPT-2, GPT-J, OPT, and BLOOM. It also supports various evaluation tasks, such as language modeling, sequence classification, and text summarization. With AutoGPTQ, users can easily quantize their LLM models and deploy them on resource-constrained devices, such as mobile phones and embedded systems.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

QServe is a serving system designed for efficient and accurate Large Language Models (LLM) on GPUs with W4A8KV4 quantization. It achieves higher throughput compared to leading industry solutions, allowing users to achieve A100-level throughput on cheaper L40S GPUs. The system introduces the QoQ quantization algorithm with 4-bit weight, 8-bit activation, and 4-bit KV cache, addressing runtime overhead challenges. QServe improves serving throughput for various LLM models by implementing compute-aware weight reordering, register-level parallelism, and fused attention memory-bound techniques.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

Text Embeddings Inference (TEI) is a toolkit for deploying and serving open source text embeddings and sequence classification models. TEI enables high-performance extraction for popular models like FlagEmbedding, Ember, GTE, and E5. It implements features such as no model graph compilation step, Metal support for local execution on Macs, small docker images with fast boot times, token-based dynamic batching, optimized transformers code for inference using Flash Attention, Candle, and cuBLASLt, Safetensors weight loading, and production-ready features like distributed tracing with Open Telemetry and Prometheus metrics.

Ichigo is a local real-time voice AI tool that uses an early fusion technique to extend a text-based LLM to have native 'listening' ability. It is an open research experiment with improved multiturn capabilities and the ability to refuse processing inaudible queries. The tool is designed for open data, open weight, on-device Siri-like functionality, inspired by Meta's Chameleon paper. Ichigo offers a web UI demo and Gradio web UI for users to interact with the tool. It has achieved enhanced MMLU scores, stronger context handling, advanced noise management, and improved multi-turn capabilities for a robust user experience.

Langfuse is a powerful tool that helps you develop, monitor, and test your LLM applications. With Langfuse, you can: * **Develop:** Instrument your app and start ingesting traces to Langfuse, inspect and debug complex logs, and manage, version, and deploy prompts from within Langfuse. * **Monitor:** Track metrics (cost, latency, quality) and gain insights from dashboards & data exports, collect and calculate scores for your LLM completions, run model-based evaluations, collect user feedback, and manually score observations in Langfuse. * **Test:** Track and test app behaviour before deploying a new version, test expected in and output pairs and benchmark performance before deploying, and track versions and releases in your application. Langfuse is easy to get started with and offers a generous free tier. You can sign up for Langfuse Cloud or deploy Langfuse locally or on your own infrastructure. Langfuse also offers a variety of integrations to make it easy to connect to your LLM applications.

**RVC_CLI: Retrieval-based Voice Conversion Command Line Interface** This command-line interface (CLI) provides a comprehensive set of tools for voice conversion, enabling you to modify the pitch, timbre, and other characteristics of audio recordings. It leverages advanced machine learning models to achieve realistic and high-quality voice conversions. **Key Features:** * **Inference:** Convert the pitch and timbre of audio in real-time or process audio files in batch mode. * **TTS Inference:** Synthesize speech from text using a variety of voices and apply voice conversion techniques. * **Training:** Train custom voice conversion models to meet specific requirements. * **Model Management:** Extract, blend, and analyze models to fine-tune and optimize performance. * **Audio Analysis:** Inspect audio files to gain insights into their characteristics. * **API:** Integrate the CLI's functionality into your own applications or workflows. **Applications:** The RVC_CLI finds applications in various domains, including: * **Music Production:** Create unique vocal effects, harmonies, and backing vocals. * **Voiceovers:** Generate voiceovers with different accents, emotions, and styles. * **Audio Editing:** Enhance or modify audio recordings for podcasts, audiobooks, and other content. * **Research and Development:** Explore and advance the field of voice conversion technology. **For Jobs:** * Audio Engineer * Music Producer * Voiceover Artist * Audio Editor * Machine Learning Engineer **AI Keywords:** * Voice Conversion * Pitch Shifting * Timbre Modification * Machine Learning * Audio Processing **For Tasks:** * Convert Pitch * Change Timbre * Synthesize Speech * Train Model * Analyze Audio

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.

MisguidedAttention is a collection of prompts designed to challenge the reasoning abilities of large language models by presenting them with modified versions of well-known thought experiments, riddles, and paradoxes. The goal is to assess the logical deduction capabilities of these models and observe any shortcomings or fallacies in their responses. The repository includes a variety of prompts that test different aspects of reasoning, such as decision-making, probability assessment, and problem-solving. By analyzing how language models handle these challenges, researchers can gain insights into their reasoning processes and potential biases.

OpenRedTeaming is a repository focused on red teaming for generative models, specifically large language models (LLMs). The repository provides a comprehensive survey on potential attacks on GenAI and robust safeguards. It covers attack strategies, evaluation metrics, benchmarks, and defensive approaches. The repository also implements over 30 auto red teaming methods. It includes surveys, taxonomies, attack strategies, and risks related to LLMs. The goal is to understand vulnerabilities and develop defenses against adversarial attacks on large language models.

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.

Upgini is an intelligent data search engine with a Python library that helps users find and add relevant features to their ML pipeline from various public, community, and premium external data sources. It automates the optimization of connected data sources by generating an optimal set of machine learning features using large language models, GraphNNs, and recurrent neural networks. The tool aims to simplify feature search and enrichment for external data to make it a standard approach in machine learning pipelines. It democratizes access to data sources for the data science community.

SoM-LLaVA is a new data source and learning paradigm for Multimodal LLMs, empowering open-source Multimodal LLMs with Set-of-Mark prompting and improved visual reasoning ability. The repository provides a new dataset that is complementary to existing training sources, enhancing multimodal LLMs with Set-of-Mark prompting and improved general capacity. By adding 30k SoM data to the visual instruction tuning stage of LLaVA, the tool achieves 1% to 6% relative improvements on all benchmarks. Users can train SoM-LLaVA via command line and utilize the implementation to annotate COCO images with SoM. Additionally, the tool can be loaded in Huggingface for further usage.

KTransformers is a flexible Python-centric framework designed to enhance the user's experience with advanced kernel optimizations and placement/parallelism strategies for Transformers. It provides a Transformers-compatible interface, RESTful APIs compliant with OpenAI and Ollama, and a simplified ChatGPT-like web UI. The framework aims to serve as a platform for experimenting with innovative LLM inference optimizations, focusing on local deployments constrained by limited resources and supporting heterogeneous computing opportunities like GPU/CPU offloading of quantized models.

LLamaSharp is a cross-platform library to run 🦙LLaMA/LLaVA model (and others) on your local device. Based on llama.cpp, inference with LLamaSharp is efficient on both CPU and GPU. With the higher-level APIs and RAG support, it's convenient to deploy LLM (Large Language Model) in your application with LLamaSharp.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

Awesome-LLM-Quantization is a curated list of resources related to quantization techniques for Large Language Models (LLMs). Quantization is a crucial step in deploying LLMs on resource-constrained devices, such as mobile phones or edge devices, by reducing the model's size and computational requirements.

Diet is no joke!

Provides calorie count of any food with a detailed breakdown per ingredient

Expert on Ray Peat

companies, trends, tech and data

Listen. Read. Learn.

Gain insight, perspective, and calm through reflective journaling. What's on your mind?

Strategist for personal gain, leveraging logic and psychology.

GPT Money Maker is an AI expert in monetizing GPT technology, offering step-by-step strategies and creative insights for financial gain using GPT models.

Upload or paste an image to gain insights and generate new images inspired by its style

Explor any math concept interactively to gain an understanding. Just type the topic!

Top AI for business automation, data analytics, content creation. Optimize efficiency, gain insights, and innovate with AI Business Transformer.

Unlock the mysteries of astrology and the zodiac to navigate life's journey with cosmic wisdom. Gain insights into your astrological profile and celestial influences. 🔮♈

Discover A More Robust Business: Craft tailored value proposition statements, develop a comprehensive business model canvas, conduct detailed PESTLE analysis, and gain strategic insights on enhancing business model elements like scalability, cost structure, and market competition strategies. (v1.18)

Trademark Process Assistant, Not an Attorney & Definitely Not Legal Advice (independently verify info received). Gain insights on U.S. trademark process & concepts, USPTO resources, application steps & more - all while being reminded of the importance of consulting legal pros 4 specific guidance.

I embody Friedrich Nietzsche, offering philosophical insights based on his works.

Competitive Intelligence Bot analyzing marketing strategies.

Analyzes book covers to provide summaries, insights, actions, and recommendations.

A stern teacher for academic drills

A mysterious psychic, adept at revealing insights and educating on cold reading techniques.

Mystical tarot creator and interpreter, blending tradition and innovation.