Best AI tools for< Train Models With Uncertainty Estimation >

Backend.AI is an enterprise-scale cluster backend for AI frameworks that offers scalability, GPU virtualization, HPC optimization, and DGX-Ready software products. It provides a fast and efficient way to build, train, and serve AI models of any type and size, with flexible infrastructure options. Backend.AI aims to optimize backend resources, reduce costs, and simplify deployment for AI developers and researchers. The platform integrates seamlessly with existing tools and offers fractional GPU usage and pay-as-you-play model to maximize resource utilization.

Together AI is an AI Acceleration Cloud platform that offers fast inference, fine-tuning, and training services. It provides self-service NVIDIA GPUs, model deployment on custom hardware, AI chat app, code execution sandbox, and tools to find the right model for specific use cases. The platform also includes a model library with open-source models, documentation for developers, and resources for advancing open-source AI. Together AI enables users to leverage pre-trained models, fine-tune them, or build custom models from scratch, catering to various generative AI needs.

Welo Data is an AI tool that specializes in AI benchmarking, model assessment, and training high-quality datasets for AI models. The platform offers services such as supervised fine tuning, reinforcement learning with human feedback, data generation, expert evaluations, and data quality framework to support the development of world-class AI models. With over 27 years of experience, Welo Data combines language expertise and AI data to deliver exceptional training and performance evaluation solutions.

Sherpa.ai is a Federated Learning Platform that enables data collaborations without sharing data. It allows organizations to build and train models with sensitive data from various sources while preserving privacy and complying with regulations. The platform offers enterprise-grade privacy-compliant solutions for improving AI models and fostering collaborations in a secure manner. Sherpa.ai is trusted by global organizations to maximize the value of data and AI, improve results, and ensure regulatory compliance.

TractoAI is an advanced AI platform that offers deep learning solutions for various industries. It provides Batch Inference with no rate limits, DeepSeek offline inference, and helps in training open source AI models. TractoAI simplifies training infrastructure setup, accelerates workflows with GPUs, and automates deployment and scaling for tasks like ML training and big data processing. The platform supports fine-tuning models, sandboxed code execution, and building custom AI models with distributed training launcher. It is developer-friendly, scalable, and efficient, offering a solution library and expert guidance for AI projects.

Sherpa.ai is a SaaS platform that enables data collaborations without sharing data. It allows businesses to build and train models with sensitive data from different parties, without compromising privacy or regulatory compliance. Sherpa.ai's Federated Learning platform is used in various industries, including healthcare, financial services, and manufacturing, to improve AI models, accelerate research, and optimize operations.

Gretel.ai is a synthetic data platform purpose-built for AI applications. It allows users to generate artificial, synthetic datasets with the same characteristics as real data, enabling the improvement of AI models without compromising privacy. The platform offers APIs for generating anonymized and safe synthetic data, training generative AI models, and validating models with quality and privacy scores. Users can deploy Gretel for enterprise use cases and run it on various cloud platforms or in their own environment.

Prem is an AI platform that empowers developers and businesses to build and fine-tune generative AI models with ease. It offers a user-friendly development platform for developers to create AI solutions effortlessly. For businesses, Prem provides tailored model fine-tuning and training to meet unique requirements, ensuring data sovereignty and ownership. Trusted by global companies, Prem accelerates the advent of sovereign generative AI by simplifying complex AI tasks and enabling full control over intellectual capital. With a suite of foundational open-source SLMs, Prem supercharges business applications with cutting-edge research and customization options.

Cogniroot is an AI-powered platform that helps businesses automate their data annotation and data labeling processes. It provides a suite of tools and services that make it easy for businesses to train their machine learning models with high-quality data. Cogniroot's platform is designed to be scalable, efficient, and cost-effective, making it a valuable tool for businesses of all sizes.

FineTuneAIs.com is a platform that specializes in custom AI model fine-tuning. Users can fine-tune their AI models to achieve better performance and accuracy. The platform requires JavaScript to be enabled for optimal functionality.

Arcee AI is a platform that offers a cost-effective, secure, end-to-end solution for building and deploying Small Language Models (SLMs). It allows users to merge and train custom language models by leveraging open source models and their own data. The platform is known for its Model Merging technique, which combines the power of pre-trained Large Language Models (LLMs) with user-specific data to create high-performing models across various industries.

Ultralytics is an AI tool that revolutionizes the world of Vision AI by enabling users to easily turn images into AI to get useful insights without writing any code. It offers a drag-and-drop interface for data input, model training, and deployment, making it accessible for startups, enterprises, data scientists, ML engineers, hobbyists, researchers, and academics. Ultralytics YOLO, the flagship tool, allows users to train machine learning models in seconds, select from pre-built models, test models on mobile devices, and deploy custom models to various formats. The tool is powered by Ultralytics Python package and is open-source, with a focus on computer vision, object detection, and image classification.

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.

Labelbox is a data factory platform that empowers AI teams to manage data labeling, train models, and create better data with internet scale RLHF platform. It offers an all-in-one solution comprising tooling and services powered by a global community of domain experts. Labelbox operates a global data labeling infrastructure and operations for AI workloads, providing expert human network for data labeling in various domains. The platform also includes AI-assisted alignment for maximum efficiency, data curation, model training, and labeling services. Customers achieve breakthroughs with high-quality data through Labelbox.

Voxel51 is an AI tool that provides open-source computer vision tools for machine learning. It offers solutions for various industries such as agriculture, aviation, driving, healthcare, manufacturing, retail, robotics, and security. Voxel51's main product, FiftyOne, helps users explore, visualize, and curate visual data to improve model performance and accelerate the development of visual AI applications. The platform is trusted by thousands of users and companies, offering both open-source and enterprise-ready solutions to manage and refine data and models for visual AI.

Qlik AutoML is an AI tool that offers automated machine learning for analytics teams. It allows users to create machine learning experiments, identify key drivers in data, train models, and make predictions. With a focus on no-code machine learning, Qlik AutoML simplifies the process of generating predictive models and understanding outcomes. The tool enables users to explore predictive data, test what-if scenarios, and leverage AI-powered connectors for seamless integration with other AI and machine learning tools.

Practical Deep Learning for Coders is a free course designed for individuals with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. The course covers topics such as building and training deep learning models for computer vision, natural language processing, tabular analysis, and collaborative filtering problems. It is based on a 5-star rated book and does not require any special hardware or software. The course is led by Jeremy Howard, a renowned expert in machine learning and the President and Chief Scientist of Kaggle.

Hailo Community is an AI tool designed for developers and enthusiasts working with Raspberry Pi and Hailo-8L AI Kit. The platform offers resources, benchmarks, and support for training custom models, optimizing AI tasks, and troubleshooting errors related to Hailo and Raspberry Pi integration.

Lambda is a superintelligence cloud platform that offers on-demand GPU clusters for multi-node training and fine-tuning, private large-scale GPU clusters, seamless management and scaling of AI workloads, inference endpoints and API, and a privacy-first chat app with open source models. It also provides NVIDIA's latest generation infrastructure for enterprise AI. With Lambda, AI teams can access gigawatt-scale AI factories for training and inference, deploy GPU instances, and leverage the latest NVIDIA GPUs for high-performance computing.

Comet ML is a machine learning platform that integrates with your existing infrastructure and tools so you can manage, visualize, and optimize models—from training runs to production monitoring.

Baal is an active learning library that supports both industrial applications and research use cases. It provides a framework for Bayesian active learning methods such as Monte-Carlo Dropout, MCDropConnect, Deep ensembles, and Semi-supervised learning. Baal helps in labeling the most uncertain items in the dataset pool to improve model performance and reduce annotation effort. The library is actively maintained by a dedicated team and has been used in various research papers for production and experimentation.

Learn & code RL with me!

GPT chatbot that helps you with technical questions related to XGBoost algorithm and library

Chat with my resume to see if I am a good fit for your AI related job.

Create personalized GPTs with my simple builder. Click the conversation starter (starting with ###) to begin.

A Setun-70 simulator with modern API integration.

Up-to-date FastAPI coding assistant with knowledge of the latest version. Part of the [latest] GPTs family.

Expert in Hugging Face platform tools and resources

Help Beginners Get Started With AI

Paranoid AI coder with a knack for sentient AI and eerie humor.

Guides in data engineering tasks with a focus on practical solutions.

Expert full stack developer with focus on customer-centric solutions and end-to-end architecture.

Japanese-first, young GCP expert with AI diagrams.

Benchmark HVAC GPT model with unmatched expertise and forward-thinking solutions, powered by OpenAI

Expert in IT, entrepreneurship, and AI with tailored business advice

大型语言模型的学习和训练指导专家

Formador para la certificación de ML Engineer en GCP, con respuestas y explicaciones detalladas.

Autonomous Driving Dev Assistant

I'm your Machine Learning and Python mentor, ready to teach and guide you.

Your expert in libtorch and C++ programming.

A witty yet succinct guide for HuggingFace, offering technical assistance on using the platform - based on their Learning Hub