From pixels to information with Document AI
We’re seeing successively difficult problems getting solved thanks to machine learning (ML) models. In this article, you’ll see An overview of Document AI, Practical and visual examples and A document processing demo (source code included)
https://github.com/GoogleCloudPlatform/document-ai-samples/blob/main/web-app-pix2info-python/README.md
We’re seeing successively difficult problems getting solved thanks to machine learning (ML) models. In this article, you’ll see An overview of Document AI, Practical and visual examples and A document processing demo (source code included)
https://github.com/GoogleCloudPlatform/document-ai-samples/blob/main/web-app-pix2info-python/README.md
GitHub
document-ai-samples/web-app-pix2info-python/README.md at main · GoogleCloudPlatform/document-ai-samples
Sample applications and demos for Document AI, the end-to-end document processing platform on Google Cloud - GoogleCloudPlatform/document-ai-samples
AgentChain
AgentChain uses Large Language Models (LLMs) for planning and orchestrating multiple Agents or Large Models (LMs) for accomplishing sophisticated tasks. AgentChain is fully multimodal: it accepts text, image, audio, tabular data as input and output.
https://github.com/jina-ai/agentchain
AgentChain uses Large Language Models (LLMs) for planning and orchestrating multiple Agents or Large Models (LMs) for accomplishing sophisticated tasks. AgentChain is fully multimodal: it accepts text, image, audio, tabular data as input and output.
https://github.com/jina-ai/agentchain
GitHub
GitHub - jina-ai/agentchain: Chain together LLMs for reasoning & orchestrate multiple large models for accomplishing complex tasks
Chain together LLMs for reasoning & orchestrate multiple large models for accomplishing complex tasks - jina-ai/agentchain
VS Code shortcuts for efficient Python programmers
Learn keyboard shortcuts that will make you a more efficient and productive Python programmer with VS Code.
https://mathspp.com/blog/vscode-shortcuts-for-efficient-python-programmers
Learn keyboard shortcuts that will make you a more efficient and productive Python programmer with VS Code.
https://mathspp.com/blog/vscode-shortcuts-for-efficient-python-programmers
Mathspp
VS Code shortcuts for efficient Python programmers
Learn keyboard shortcuts that will make you a more efficient and productive Python programmer with VS Code.
Basaran
Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models.
https://github.com/hyperonym/basaran
Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models.
https://github.com/hyperonym/basaran
GitHub
GitHub - hyperonym/basaran: Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming…
Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models. - hyperonym/basaran
Python-based compiler achieves orders-of-magnitude speedups
https://news.mit.edu/2023/codon-python-based-compiler-achieve-orders-magnitude-speedups-0314
https://news.mit.edu/2023/codon-python-based-compiler-achieve-orders-magnitude-speedups-0314
MIT News
Python-based compiler achieves orders-of-magnitude speedups
Codon is a new tool that compiles Python code to run it more efficiently and effectively while allowing for customization and adaptation to various domains.
OpenChatKit
OpenChatKit provides a powerful, open-source base to create both specialized and general purpose chatbots for various applications. The kit includes an instruction-tuned 20 billion parameter language model, a 6 billion parameter moderation model, and an extensible retrieval system for including up-to-date responses from custom repositories.
https://github.com/togethercomputer/OpenChatKit
OpenChatKit provides a powerful, open-source base to create both specialized and general purpose chatbots for various applications. The kit includes an instruction-tuned 20 billion parameter language model, a 6 billion parameter moderation model, and an extensible retrieval system for including up-to-date responses from custom repositories.
https://github.com/togethercomputer/OpenChatKit
GitHub
GitHub - togethercomputer/OpenChatKit
Contribute to togethercomputer/OpenChatKit development by creating an account on GitHub.
visual-chatgpt
Visual ChatGPT connects ChatGPT and a series of Visual Foundation Models to enable sending and receiving images during chatting.
https://github.com/microsoft/visual-chatgpt
Visual ChatGPT connects ChatGPT and a series of Visual Foundation Models to enable sending and receiving images during chatting.
https://github.com/microsoft/visual-chatgpt
GitHub
GitHub - chenfei-wu/TaskMatrix
Contribute to chenfei-wu/TaskMatrix development by creating an account on GitHub.
Sync or Async? Unpacking the Mysteries of Django Signals
Django signals provide a powerful way to trigger actions when specific events occur, but are they asynchronous or synchronous? In this article, we'll explore the answer to this question and discuss the pros and cons of using Django signals in your web applications.
https://www.mattlayman.com/blog/2023/django-signals-async/
Django signals provide a powerful way to trigger actions when specific events occur, but are they asynchronous or synchronous? In this article, we'll explore the answer to this question and discuss the pros and cons of using Django signals in your web applications.
https://www.mattlayman.com/blog/2023/django-signals-async/
Matt Layman
Sync or Async? Unpacking the Mysteries of Django Signals
Django signals provide a powerful way to trigger actions when specific events occur, but are they asynchronous or synchronous? In this article, we'll explore the answer to this question and discuss the pros and cons of using Django signals in your web applications.
shyamsn97 / mario-gpt
Generating Mario Levels with GPT2. Code for the paper "MarioGPT: Open-Ended Text2Level Generation through Large Language Models" https://arxiv.org/abs/2302.05981
https://github.com/shyamsn97/mario-gpt
Generating Mario Levels with GPT2. Code for the paper "MarioGPT: Open-Ended Text2Level Generation through Large Language Models" https://arxiv.org/abs/2302.05981
https://github.com/shyamsn97/mario-gpt
arXiv.org
MarioGPT: Open-Ended Text2Level Generation through Large Language Models
Procedural Content Generation (PCG) is a technique to generate complex and diverse environments in an automated way. However, while generating content with PCG methods is often straightforward,...
How to Generate Images Using the OpenAI API and DALL·E 2 in Python
In this tutorial, you'll learn how to use OpenAI's API with Python to generate, edit, and vary images using natural language prompts.
https://www.makeuseof.com/generate-images-using-openai-api-dalle-python/
In this tutorial, you'll learn how to use OpenAI's API with Python to generate, edit, and vary images using natural language prompts.
https://www.makeuseof.com/generate-images-using-openai-api-dalle-python/
MUO
How to Generate Images Using the OpenAI API and DALL·E 2 in Python
Make use of OpenAI's DALL·E 2 model to generate images using Python.
creosote
Identify unused dependencies and avoid a bloated virtual environment.
https://github.com/fredrikaverpil/creosote
Identify unused dependencies and avoid a bloated virtual environment.
https://github.com/fredrikaverpil/creosote
GitHub
GitHub - fredrikaverpil/creosote: Identify unused dependencies and avoid a bloated virtual environment.
Identify unused dependencies and avoid a bloated virtual environment. - fredrikaverpil/creosote
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
https://github.com/tatsu-lab/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
https://github.com/tatsu-lab/stanford_alpaca
GitHub
GitHub - tatsu-lab/stanford_alpaca: Code and documentation to train Stanford's Alpaca models, and generate the data.
Code and documentation to train Stanford's Alpaca models, and generate the data. - tatsu-lab/stanford_alpaca
Python and SLSA
Supply chain Layers for Software Artifacts (SLSA) is a framework of tools to generate and verify provenance for software artifacts. In the Python ecosystem there are two main types of software artifacts: wheels and source distributions. How can we use the SLSA framework to generate and verify the provenance of Python artifacts?
https://sethmlarson.dev/python-and-slsa
Supply chain Layers for Software Artifacts (SLSA) is a framework of tools to generate and verify provenance for software artifacts. In the Python ecosystem there are two main types of software artifacts: wheels and source distributions. How can we use the SLSA framework to generate and verify the provenance of Python artifacts?
https://sethmlarson.dev/python-and-slsa
Seth Michael Larson
Python and SLSA 💃
Supply chain Layers for Software Artifacts (SLSA) is a framework of tools to
generate and verify provenance for software artifacts. In the Python ecosystem
there are two main types of software ar...
generate and verify provenance for software artifacts. In the Python ecosystem
there are two main types of software ar...