Machine Learning

Keras is an open-source deep learning API written in Python, designed to simplify the construction and training of neural networks. Its user-friendly design, modular structure, and multi-backend support enable developers to efficiently develop and deploy deep learning models.

scikit-learn is an open-source machine learning library for Python, offering simple and efficient tools for predictive data analysis, suitable for various contexts, built on NumPy, SciPy, and matplotlib.

Kaggle is a platform that brings together data scientists and machine learning enthusiasts worldwide, offering a wealth of datasets, competitions, courses, and pre-trained models to help users enhance their skills and solve real-world problems.

Lobe is a no-code development platform provided by Microsoft, designed to help users easily create and train machine learning models. With a simplified three-step process, users can train and deploy models without writing any code.

MLX is an open-source framework developed by Apple's machine learning research team, designed specifically for Apple Silicon chips. It offers a NumPy-like API, supports automatic differentiation and lazy evaluation, aiming to assist developers in efficiently developing, training, and deploying machine learning models on Apple's M-series chips.

PubMedQA is a question-answering dataset tailored for the biomedical field, comprising 1,000 expert-labeled, 61,200 unlabeled, and 211,300 artificially generated QA instances, aiming to enhance AI models' performance in medical research question-answering tasks.

Microsoft's Azure Cloud Advocates have introduced a free 12-week, 26-lesson machine learning course designed to help beginners systematically learn classic machine learning concepts, primarily using the Scikit-learn library. The course includes quizzes, written explanations, solutions, and assignments, offering comprehensive learning resources.

Caffe is an open-source deep learning framework developed by the University of California, Berkeley, known for its efficiency, flexibility, and modular design, widely used in image classification, speech recognition, and other fields.

Obviously AI is a no-code data science platform designed to help businesses and individuals rapidly build and deploy machine learning models without writing code. Its core features include rapid model building, one-click deployment, automated model monitoring, and real-time API integration, significantly lowering the barrier to AI adoption.

Apache MXNet is an open-source deep learning framework supporting multiple programming languages and devices, offering flexible programming models and efficient distributed training capabilities.

Huemint is a machine learning-based color palette generator that intelligently creates harmonious color combinations based on user needs, widely used in brand and web design to enhance design efficiency and creativity.

Scale AI is a San Francisco-based technology company specializing in providing high-quality data annotation and data management services for machine learning and artificial intelligence applications. Its core products include Scale Data Engine and Scale GenAI Platform, designed to help enterprises optimize AI model performance and accelerate the development and deployment of AI applications.

AutoDraw, developed by Google's Creative Lab, is an online drawing tool that uses machine learning to suggest refined sketches based on user doodles, making drawing simple and fun.

Label Studio, developed by Human Signal (formerly Heartex), is a free open-source data labeling tool supporting various data types, offering flexible configurations and machine learning assistance, enabling developers to efficiently fine-tune large language models, prepare training data, or validate AI models.

AlphaSense is an AI search tool designed for financial professionals, integrating public and internal information to provide financial market data through keyword searches or AI conversations. Its proprietary AlphaSense Large Language Model deeply understands financial terminology and market dynamics, assisting users in quickly obtaining market insights to support decision-making.

PyTorch, developed by Meta AI and now managed by the Linux Foundation, is an open-source deep learning framework offering flexible dynamic computation graphs and robust community support, widely used in computer vision and natural language processing.

Udacity AI Academy offers AI courses from basic to advanced levels, covering machine learning, deep learning, and more, emphasizing practical projects and industry collaboration to help learners master cutting-edge technologies.

Waifu Labs, developed by Sizigi Studios, is a free online AI tool that allows users to generate personalized anime avatars in four simple steps. Utilizing advanced machine learning technology, it offers a high-quality, customized character creation experience.

Elements of AI is a free online course developed jointly by the University of Helsinki and MinnaLearn, aiming to popularize basic knowledge of artificial intelligence to learners worldwide. It is suitable for users without technical backgrounds and offers a flexible learning experience.

Exactly.ai is an AI platform designed for artists and illustrators, utilizing machine learning to help users train personalized AI models, quickly generating art pieces that align with their unique styles, while ensuring full copyright ownership for creators.

Hugging Face has released BLOOM, a 176 billion parameter multilingual large language model supporting 46 natural languages and 13 programming languages, aiming to advance open research and applications in artificial intelligence.

Hugging Face is a company focused on artificial intelligence and machine learning, offering a wealth of open-source tools and platforms to assist developers in building and deploying AI applications. Its core products include the Transformers library, Hugging Face Hub, and Gradio, supporting various deep learning frameworks, and committed to promoting the popularization and innovation of AI technology.

Brilliant's 'Introduction to Neural Networks' course offers interactive learning to help users deeply understand the fundamental concepts and applications of artificial neural networks, suitable for those interested in AI and machine learning.

IBM watsonx.ai is an integrated AI development studio that combines generative AI and traditional machine learning, offering user-friendly interfaces and workflows, supporting various models and tools to help enterprises quickly build and deploy AI applications.

Visual Studio IntelliCode is an AI programming assistant developed by Microsoft, utilizing machine learning to offer intelligent code completion, refactoring suggestions, and error detection, significantly enhancing developers' coding efficiency and code quality.

JAX is an open-source Python library developed by Google, designed to offer high-performance numerical computing and automatic differentiation capabilities, supporting execution on CPUs, GPUs, and TPUs, compatible with NumPy, and suitable for machine learning and scientific computing.