Machine Learning
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Automating Machine Learning for Image, Text, Time Series, and Tabular Data
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Community Detection at Scale
Leiden Algorithm: Community Detection at Scale The Leiden algorithm is a powerful tool for community detection in large-scale networks. Developed by Dr. Vincent Traag, this algorithm offers flexibility, scalability, and advanced methods for effectively partitioning complex graphs. In this article, we will explore the features and capabilities of the Leiden algorithm, its real-world applications, technical…
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Fast and Easy LLM Serving for Everyone
vLLM: Fast and Easy LLM Serving for Everyone Language Model Serving (LLM) has become an essential part of many applications, from chatbots to language translation systems. However, setting up and managing LLM systems can be challenging, requiring expertise in both machine learning and system optimization. That’s where vLLM comes in, offering an easy, fast, and…
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An Easy-to-Use LLMs Quantization Package for Efficient Inference
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Accurate Post-training Compression for Generative Pretrained Transformers
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Enhancing Machine Learning with Symbolic Knowledge Injection
Machine learning models have revolutionized various applications, from image recognition to natural language processing. However, these models often suffer from limitations such as high memory footprint, data requirements, lack of interpretability, and long training times. Symbolic knowledge injection techniques aim to address these challenges by incorporating prior knowledge into machine learning models. In this article,…
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Demos and Usage Guide
Exploring Symbolic Knowledge Injection with PSyKI: Demos and Usage Guide Symbolic Knowledge Injection (SKI) is a powerful technique that allows us to integrate symbolic reasoning into our data analysis and decision-making processes. With the Python package PSyKI, we can tap into the potential of symbolic knowledge injection and leverage its capabilities to solve complex problems.…
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An Effective Tool for Annotating Training Data
Introducing datasette-annotate: An Effective Tool for Annotating Training Data In the world of data management and machine learning, the annotation of training data plays a crucial role in developing accurate and reliable models. The process of labeling and annotating datasets can often be time-consuming and tedious, requiring effective tools to streamline the process. This is…
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A Comprehensive Guide
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A Comprehensive Toolchain for Creating and Training Stable Diffusion Models
Are you ready to take your machine learning projects to the next level? Look no further than Dataset Rising, a powerful toolchain that empowers you to create and train Stable Diffusion models with ease. Whether you’re a seasoned machine learning expert or just starting your journey, Dataset Rising has all the features and functionalities you…
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A Python Package for High Dimensional Fixed Effects
Linear regression is a fundamental statistical technique used to model the relationship between a dependent variable and one or more independent variables. However, when dealing with high dimensional fixed effects and panel data, it becomes challenging to estimate the model accurately and efficiently. That’s where FixedEffectModel, a Python package developed by Kuaishou DA Ecology group,…
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Revolutionizing Similarity Search and Clustering with Efficient Vector Analysis
As industries become increasingly reliant on complex data analysis, the need for efficient similarity search and clustering algorithms becomes paramount. Faiss, a cutting-edge library developed by Facebook Research, offers a groundbreaking solution to these challenges. With its advanced algorithms and GPU implementation, Faiss enables lightning-fast vector analysis, revolutionizing the way we handle large sets of…
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Unlocking the Power of Natural Language Understanding with Snips NLU
Article Are you curious about the technology that powers chatbots and voice assistants? Look no further than Natural Language Understanding (NLU). At the heart of NLU lies Snips NLU, an open-source Python library that allows developers to extract structured information from sentences written in natural language. In this article, we will explore the features and…
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Fast and Comprehensive Machine Learning in Java and Scala
Smile: Fast and Comprehensive Machine Learning in Java and Scala Smile (Statistical Machine Intelligence and Learning Engine) is a high-performance machine learning library built for Java and Scala. It offers a rich collection of algorithms and tools for various tasks such as classification, regression, clustering, feature selection, natural language processing, and more. With its advanced…
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A Comprehensive Machine Learning and Data Analysis Library in Java and Scala
Are you looking for a fast and comprehensive machine learning and data analysis library in Java and Scala? Look no further than Smile (Statistical Machine Intelligence and Learning Engine). Smile is a versatile library that covers every aspect of machine learning, including classification, regression, clustering, feature selection, manifold learning, natural language processing (NLP), and more.…
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A JVM-Based Deep Learning Ecosystem
Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized various industries, from healthcare to finance and beyond. Deep learning, which is a subset of ML, has emerged as a powerful technique for solving complex problems. Eclipse Deeplearning4J (DL4J) is a cutting-edge deep learning ecosystem built specifically for JVM-based applications. In this article, we will explore…