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machinelearning

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.

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covalent

Gen AI Framework and Orchestration Engine. GenAI Goos.Flock emerges as a groundbreaking framework and orchestration engine, designed to seamlessly integrate and manage complex AI workflows. This innovative platform is the ultimate solution for organizations seeking to harness the full potential of Generative AI, Large Language Models (LLMs)

  • Updated Jun 10, 2024

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战,数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

  • Updated Jun 10, 2024
  • Jupyter Notebook

Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.

  • Updated Jun 10, 2024
  • Python
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