Best AI tools for< Monitor Training Progress >

BodBot is an AI-powered personal trainer, nutritionist, and coach that provides personalized workout plans and nutrition guidance tailored to individual goals, progress, and body. The application utilizes advanced AI algorithms to analyze user data, offer data-driven fitness insights, and adapt workouts based on individual needs and preferences. BodBot offers a wide range of features, including step-by-step workout guidance, data-driven fitness tracking, muscle-building precision, intelligent workout planning, joint-friendly exercises, and AI-powered nutrition planning. With a focus on customization, adaptability, and user-friendly experience, BodBot aims to revolutionize the way users approach health and fitness.

GymBuddy.ai is an AI workout planner that leverages artificial intelligence to create personalized workout plans tailored to individual fitness levels, equipment access, and target areas of the body. The platform offers a wide range of exercises and features to help users achieve their fitness goals effectively. With advanced analytics and full workout customization, GymBuddy.ai aims to revolutionize the way people approach their fitness journey.

GymBuddy is an AI-powered workout planner that helps users create personalized and effective workout routines. It uses AI technology to analyze user data and provide tailored exercise recommendations based on their fitness goals and body composition. The app also includes features for tracking progress, monitoring weight, and identifying areas for improvement. With its user-friendly interface and advanced analytics, GymBuddy aims to make fitness accessible and enjoyable for everyone.

Salesably is an AI-driven sales practice platform that transforms sales training from static to dynamic through interactive playbooks, AI-powered practice, skills certification, and performance analytics. It offers sales trainers and managers a cutting-edge platform to enhance programs, drive better results, and create new revenue streams. With features like practice against diverse personas, learning paths & certification, customizable platform, measurable impact, objection handling mastery, discovery questioning excellence, pitch optimization workshops, and actionable insights for sales leaders and trainers, Salesably empowers sales teams to become masters of buyer-centric selling.

Unschooler is an AI-powered platform offering AI video courses for educators, universities, and schools. It provides AI training for real business metrics, empowering teams to excel in areas such as hitting sales targets, ensuring compliance, and launching new product lines. With AI assistants trained on company knowledge, Unschooler transforms traditional training into personalized guidance on reaching business goals. The platform enables the creation of KPI-driven courses, real-time insights monitoring, optimization through student engagement analysis, and the launch of branded online academies. Unschooler aims to deliver greater value to students and institutions by leveraging AI for personalized learning experiences and improved ROI.

PEAR Health Labs is a personalized fitness coaching software that offers hyperpersonalized coaching solutions powered by AI to help individuals move smarter, get healthier, and live happier. The platform utilizes data from wearables and biometric feedback to create personalized fitness experiences. PEAR Training Intelligence creates adaptive plans based on proven physiological science, aiming to improve overall health and well-being. The software is cost-effective, scalable, and designed to provide guidance on physical activity regardless of the user's fitness level.

Supafit is an AI-powered personal trainer application that provides exclusive access to personalized fitness programs and location-specific workouts. The app features a 24/7 chat with a virtual coach, integration with third-party apps, centralization of fitness data, calorie tracking, and progress reports. Users can generate custom routines and receive tailored workout plans that evolve with their progress. Supafit aims to revolutionize the fitness industry by offering a comprehensive and adaptive training experience.

UpT Golf is a cutting-edge application designed for golfers, athletes, and coaches to enhance their skills and performance. Powered by Computer Vision and Artificial Intelligence, the app offers in-depth swing analysis, progress tracking, personalized recommendations, and real-time feedback. It provides a user-friendly interface for golfers to monitor their progress and for coaches to analyze and guide their students effectively. UpT Golf also facilitates communication among players and coaches, creating a supportive community for sharing experiences and tips. With innovative features and advanced tools, UpT Golf revolutionizes golf training by making it more efficient, enjoyable, and accessible to users worldwide.

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.

Macgence is an AI training data services platform that offers high-quality off-the-shelf structured training data for organizations to build effective AI systems at scale. They provide services such as custom data sourcing, data annotation, data validation, content moderation, and localization. Macgence combines global linguistic, cultural, and technological expertise to create high-quality datasets for AI models, enabling faster time-to-market across the entire model value chain. With more than 5 years of experience, they support and scale AI initiatives of leading global innovators by designing custom data collection programs. Macgence specializes in handling AI training data for text, speech, image, and video data, offering cognitive annotation services to unlock the potential of unstructured textual data.

Solidroad is an AI-first training and feedback platform that turns company knowledge-base into immersive training programs. It offers personalized coaching, realistic simulations, and real-time feedback to improve team performance. The platform aims to make training programs easier to manage and more engaging for employees.

Jyotax.ai is an AI-powered tax solution that revolutionizes tax compliance by simplifying the tax process with advanced AI solutions. It offers comprehensive bookkeeping, payroll processing, worldwide tax returns and filing automation, profit recovery, contract compliance, and financial modeling and budgeting services. The platform ensures accurate reporting, real-time compliance monitoring, global tax solutions, customizable tax tools, and seamless data integration. Jyotax.ai optimizes tax workflows, ensures compliance with precise AI tax calculations, and simplifies global tax operations through innovative AI solutions.

Gamma.AI is a cloud-based data loss prevention (DLP) solution that uses artificial intelligence (AI) to protect sensitive data in SaaS applications. It provides real-time data discovery and classification, user behavior analytics, and automated remediation capabilities. Gamma.AI is designed to help organizations meet compliance requirements and protect their data from unauthorized access, theft, and loss.

LuckyRobots is an AI tool designed to make robotics accessible to software engineers by providing a simulation platform for deploying end-to-end AI models. The platform allows users to interact with robots using natural language commands, explore virtual environments, test robot models in realistic scenarios, and receive camera feeds for monitoring. LuckyRobots aims to train AI models on real-world simulations and respond to natural language inputs, offering a user-friendly and innovative approach to robotics development.

Scale AI is an AI tool that accelerates the development of AI applications for various sectors including enterprise, government, and automotive industries. It offers solutions for training models, fine-tuning, generative AI, and model evaluations. Scale Data Engine and GenAI Platform enable users to leverage enterprise data effectively. The platform collaborates with leading AI models and provides high-quality data for public and private sector applications.

UseScraper is a web crawler and scraper API that allows users to extract data from websites for research, analysis, and AI applications. It offers features such as full browser rendering, markdown conversion, and automatic proxies to prevent rate limiting. UseScraper is designed to be fast, easy to use, and cost-effective, with plans starting at $0 per month.

EqualWeb is a web accessibility tool that offers a range of solutions to ensure full compliance with accessibility standards such as ADA and WCAG 2.2. It provides powerful AI remediation tools, monitoring, auditing, consulting, translations, and training services to help websites become accessible to all users, regardless of disabilities. EqualWeb aims to make web accessibility easy and efficient for businesses of all sizes and platforms, offering a hybrid solution that combines Auto AI technology with expert manual remediation.

Comet ML is an extensible, fully customizable machine learning platform that aims to move ML forward by supporting productivity, reproducibility, and collaboration. It integrates with existing infrastructure and tools to manage, visualize, and optimize models from training runs to production monitoring. Users can track and compare training runs, create a model registry, and monitor models in production all in one platform. Comet's platform can be run on any infrastructure, enabling users to reshape their ML workflow and bring their existing software and data stack.

Satlas is an AI-powered platform that provides geospatial data generated by AI models. The platform offers insights into changes in marine infrastructure, renewable energy infrastructure, and tree cover on a monthly basis. Users can explore maps showcasing developments such as wind farms, solar farms, deforestation, and more. Satlas employs advanced AI architectures and training algorithms in computer vision to enhance low-resolution satellite imagery and produce high-resolution images globally. The platform's geospatial datasets are freely available for offline analysis, along with AI models and training labels. Developed by the Allen Institute for AI, Satlas aims to advance computer vision technology for better understanding and monitoring of Earth's changes.

PetWisdomHub is an AI-powered platform that provides answers to all your pet-related questions. Whether you're a new pet owner seeking guidance or a seasoned pet parent looking for expert advice, PetWisdomHub offers a comprehensive database of information to help you better understand and care for your furry friends. With its advanced AI algorithms, the platform can analyze your inquiries and provide accurate and personalized responses tailored to your pet's specific needs. From health and nutrition to behavior and training, PetWisdomHub is your go-to source for reliable pet care information.

FinRL-DeepSeek is a project focusing on LLM-infused risk-sensitive reinforcement learning for trading agents. It provides a framework for training and evaluating trading agents in different market conditions using deep reinforcement learning techniques. The project integrates sentiment analysis and risk assessment to enhance trading strategies in both bull and bear markets. Users can preprocess financial news data, add LLM signals, and train agent-ready datasets for PPO and CPPO algorithms. The project offers specific training and evaluation environments for different agent configurations, along with detailed instructions for installation and usage.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

This repository contains the reinforcement learning training code for Trackmania AI with Reinforcement Learning. It is a research work-in-progress project that aims to apply reinforcement learning principles to play Trackmania. The code is constantly evolving and may not be clean or easily usable. The training hyperparameters are intentionally changed in the public repository to encourage understanding of reinforcement learning principles. The project may not receive active support for setup or usage at the moment.

Fast-LLM is an open-source library designed for training large language models with exceptional speed, scalability, and flexibility. Built on PyTorch and Triton, it offers optimized kernel efficiency, reduced overheads, and memory usage, making it suitable for training models of all sizes. The library supports distributed training across multiple GPUs and nodes, offers flexibility in model architectures, and is easy to use with pre-built Docker images and simple configuration. Fast-LLM is licensed under Apache 2.0, developed transparently on GitHub, and encourages contributions and collaboration from the community.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

Felafax is a framework designed to tune LLaMa3.1 on Google Cloud TPUs for cost efficiency and seamless scaling. It provides a Jupyter notebook for continued-training and fine-tuning open source LLMs using XLA runtime. The goal of Felafax is to simplify running AI workloads on non-NVIDIA hardware such as TPUs, AWS Trainium, AMD GPU, and Intel GPU. It supports various models like LLaMa-3.1 JAX Implementation, LLaMa-3/3.1 PyTorch XLA, and Gemma2 Models optimized for Cloud TPUs with full-precision training support.

The 'ai-dev-2024-ml-workshop' repository contains materials for the Deploy and Monitor ML Pipelines workshop at the AI_dev 2024 conference in Paris, focusing on deployment designs of machine learning pipelines using open-source applications and free-tier tools. It demonstrates automating data refresh and forecasting using GitHub Actions and Docker, monitoring with MLflow and YData Profiling, and setting up a monitoring dashboard with Quarto doc on GitHub Pages.

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment interfaces and libraries for understanding AI systems. It empowers developers and stakeholders to develop and monitor AI responsibly, enabling better data-driven actions. The toolbox includes visualization widgets for model assessment, error analysis, interpretability, fairness assessment, and mitigations library. It also offers a JupyterLab extension for managing machine learning experiments and a library for measuring gender bias in NLP datasets.

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.

SenseCAP Watcher is a monitoring device built on ESP32S3 with Himax WiseEye2 HX6538 AI chip, excelling in image and vector data processing. It features a camera, microphone, and speaker for visual, auditory, and interactive capabilities. With LLM-enabled SenseCraft suite, it understands commands, perceives surroundings, and triggers actions. The repository provides firmware, hardware documentation, and applications for the Watcher, along with detailed guides for setup, task assignment, and firmware flashing.

Call Center AI is an AI-powered call center solution leveraging Azure and OpenAI GPT. It allows for AI agent-initiated phone calls or direct calls to the bot from a configured phone number. The bot is customizable for various industries like insurance, IT support, and customer service, with features such as accessing claim information, conversation history, language change, SMS sending, and more. The project is a proof of concept showcasing the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI for an automated call center solution.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

XLearning is a scheduling platform for big data and artificial intelligence, supporting various machine learning and deep learning frameworks. It runs on Hadoop Yarn and integrates frameworks like TensorFlow, MXNet, Caffe, Theano, PyTorch, Keras, XGBoost. XLearning offers scalability, compatibility, multiple deep learning framework support, unified data management based on HDFS, visualization display, and compatibility with code at native frameworks. It provides functions for data input/output strategies, container management, TensorBoard service, and resource usage metrics display. XLearning requires JDK >= 1.7 and Maven >= 3.3 for compilation, and deployment on CentOS 7.2 with Java >= 1.7 and Hadoop 2.6, 2.7, 2.8.

The Looker GenAI Extension provides code examples and resources for building a Looker Extension that integrates with Vertex AI Large Language Models (LLMs). Users can leverage the power of LLMs to enhance data exploration and analysis within Looker. The extension offers generative explore functionality to ask natural language questions about data and generative insights on dashboards to analyze data by asking questions. It leverages components like BQML Remote Models, BQML Remote UDF with Vertex AI, and Custom Fine Tune Model for different integration options. Deployment involves setting up infrastructure with Terraform and deploying the Looker Extension by creating a Looker project, copying extension files, configuring BigQuery connection, connecting to Git, and testing the extension. Users can save example prompts and configure user settings for the extension. Development of the Looker Extension environment includes installing dependencies, starting the development server, and building for production.

Moon Dev AI Agents for Trading is an experimental project exploring the potential of artificial financial intelligence for trading and investing research. The project aims to develop AI agents to complement and potentially replace human trading operations by addressing common trading challenges such as emotional reactions, ego-driven decisions, inconsistent execution, fatigue effects, impatience, and fear & greed cycles. The project focuses on research areas like risk control, exit timing, entry strategies, sentiment collection, and strategy execution. It is important to note that this project is not a profitable trading solution and involves substantial risk of loss.

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

大型语言模型的学习和训练指导专家

I will create a quality data set for a personality AI, just dive into each module by saying the name of it and do so for all the modules. If you find it useful, share it to your friends

Advises companies on data privacy laws, performs compliance checks, and implements data protection strategies.

Stay informed on AGI - with the latest, most relevant news.

Seismic and volcanic monitor with in-depth data and visuals.

Frost Protection System is an AI bot optimizing open field farming of fruits, vegetables, and flowers, combining real-time data and AI to boost yield, cut costs, and foster sustainable practices in a user-friendly interface.

Your SRE, DevOps and Observability buddy

A specialist in DataOps and Data Observability, aiding in data management and monitoring.

EUR/ZAR analysis with real-time rate and current news focus

stunspot's advisor for all things Financial Cybersec

Expert in Broad Financial Compliance

Specializes in Anti-Money Laundering/Counter-Financing of Terrorism compliance and analysis.

Advanced DevOps Guru with Linux distro and cloud-native tech expertise.

Facilitates Socratic dialogues to refine your network state.

Expert in Maritime Conservation & Drone Technology.

A bot that provides detailed cybersecurity threat intelligence.

Ensures product quality through systematic process monitoring and evaluation.

Global Conflict Analyst that will provide a 'wartime update' on the worst global conflict atm.