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Jul 5, 2024 - Vue
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.
NSMusicS,Multi platform Multi mode Music Software ,Electron(Vue3+Vite+TypeScript)+.net core+AI
The programs of certificate course on "Artificial Intelligence and Machine Learning" conducted at CDAC for DRDO by Tushar B. Kute.
From Python basics to Machine Learning and PyTorch Deep Learning - one day at a time, explore it all
The open-source observability platform everyone needs!
🔍 Dive into Machine Learning with this collection of Google Colab notebooks. 📚 From beginners to pros, explore algorithms, datasets, and practical skills. 🚀 Start your ML journey here! 💡
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Instructional learning for Aspect Based Sentiment Analysis
Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Collaborative Machine-Learning-Centric Data Analytics Using Workflows
The class homeworks of Machine Learning of Shen Chunhua.
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.
AIMate 👩💻 is an advanced AI-powered personal assistant app designed to enhance productivity and improve daily life. It leverages state-of-the-art technologies such as Natural Language Processing (NLP) for voice commands, machine learning for predictive analytics and personalized recommendations, and computer vision for image and face recognition
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)
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.