Curso de Ciência da Computação
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Updated
May 20, 2024 - Jupyter Notebook
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Curso de Ciência da Computação
Predict Whether A Customer Will Be Interested In Buying Travel Insurance
Using a GPT3-based classifier to identify malaria papers reporting phenotypes
A scalable realtime and continuous indexing and structured extraction engine for Unstructured Data to build Generative AI Applications
Automatic colorization of the grayscale images
Web application for predicting the number of available bike stands at one of the MBajk bike stations.
(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) JupyterLab R docker images. Please submit Pull Requests to the GitLab repository. Mirror of
Proyecto de un sistema que emplea modelos de machine learning e inteligencia artificial para detectar enfermedades
Structured machine learning project
Data Infrastructure for Multimodal AI: Data, models, and orchestration in a unified declarative interface.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Modern Animated SaaS Generative AI Landing Page.
Cross-platform, customizable ML solutions for live and streaming media.
Developed an SRL system using statistical and neural models to label semantic roles in Hindi sentences. Achieved up to 95.34% accuracy using IndicBERT and BiLSTM. Includes datasets, code, and model files.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Experiment with machine learning and AI algorithms, write guides, and documents.
Open source platform for the machine learning lifecycle
🔬motif-learn: machine learning in scanning transmission electron microscopy