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PyTorch

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PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab.

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This AI-powered chatbot enhances customer experience by providing instant responses to queries about menu items, special offers, and more. Built with Python, Flask, PyTorch, and NLTK. It integrates deep learning and natural language processing to understand and respond to user queries.

  • Updated Jun 10, 2024
  • Python

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  • Updated Jun 10, 2024
  • Python
haystack

🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

  • Updated Jun 10, 2024
  • Python

Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.

  • Updated Jun 10, 2024
  • Python

Created by Facebook's AI Research lab (FAIR)

Released September 2016

Latest release 12 days ago

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Repository
pytorch/pytorch
Website
pytorch.org
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python pytorch-tutorial