facebookresearch / nougat
Implementation of Nougat Neural Optical Understanding for Academic Documents
https://github.com/facebookresearch/nougat
Implementation of Nougat Neural Optical Understanding for Academic Documents
https://github.com/facebookresearch/nougat
GitHub
GitHub - facebookresearch/nougat: Implementation of Nougat Neural Optical Understanding for Academic Documents
Implementation of Nougat Neural Optical Understanding for Academic Documents - facebookresearch/nougat
FastStream
FastStream is a powerful and easy-to-use Python framework for building asynchronous services that interact with event streams such as Apache Kafka and RabbitMQ.
https://github.com/airtai/faststream
FastStream is a powerful and easy-to-use Python framework for building asynchronous services that interact with event streams such as Apache Kafka and RabbitMQ.
https://github.com/airtai/faststream
GitHub
GitHub - ag2ai/faststream: FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting…
FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis. - ag2ai/faststream
So you want to expose a database? - An exploration of automated API generation
https://codebeez.nl/blogs/so-you-want-to-expose-a-database-an-exploration-of-automated-api-generation/
https://codebeez.nl/blogs/so-you-want-to-expose-a-database-an-exploration-of-automated-api-generation/
Codebeez
Codebeez zijn wij met zijn allen samen. Wij vormen de cultuur. Op onze eigen manier, die we gezamenlijk bepalen. Alles draait bij Codebeez om onze mensen, hun plezier, hun groei, focus op ons vakgebied en de kwaliteit van wat wij doen. Onze Beez eerst.
stanfordnlp / dspy
DSPy: The framework for programming with foundation models
https://github.com/stanfordnlp/dspy
DSPy: The framework for programming with foundation models
https://github.com/stanfordnlp/dspy
GitHub
GitHub - stanfordnlp/dspy: DSPy: The framework for programming—not prompting—language models
DSPy: The framework for programming—not prompting—language models - stanfordnlp/dspy
Starting on Software Bill-of-Materials (SBOM) for CPython
https://sethmlarson.dev/security-developer-in-residence-weekly-report-12
https://sethmlarson.dev/security-developer-in-residence-weekly-report-12
Seth Michael Larson
Starting on Software Bill-of-Materials (SBOM) for CPython
This critical role would not be possible without funding from the OpenSSF Alpha-Omega Project.
Massive thank-you to Alpha-Omega for investing in the security of the Python ecosystem!
I've st...
Massive thank-you to Alpha-Omega for investing in the security of the Python ecosystem!
I've st...
I built an AI doctor with ChatGPT - Full Clinical Experience
The software is designed to test artificial intelligence's ability to perform patient intake, chart notes, and offer investigative and diagnostic aid. However, it is important to note that this software has NOT been tested, validated, or approved by the Food and Drug Administration (FDA) or any other regulatory body for medical devices.
https://www.youtube.com/watch?v=EAger7jOrsA
The software is designed to test artificial intelligence's ability to perform patient intake, chart notes, and offer investigative and diagnostic aid. However, it is important to note that this software has NOT been tested, validated, or approved by the Food and Drug Administration (FDA) or any other regulatory body for medical devices.
https://www.youtube.com/watch?v=EAger7jOrsA
YouTube
I built an AI doctor with ChatGPT - Full Clinical Experience
All my links: https://linktr.ee/daveshap
Seaborn Confusion Matrix: How to Plot and Visualize in Python
Master the art of data visualization with Seaborn confusion matrix plotting. Evaluate model performance like a pro.
https://www.marsja.se/seaborn-confusion-matrix-how-to-plot-and-visualize-in-python/
Master the art of data visualization with Seaborn confusion matrix plotting. Evaluate model performance like a pro.
https://www.marsja.se/seaborn-confusion-matrix-how-to-plot-and-visualize-in-python/
Erik Marsja
Seaborn Confusion Matrix: How to Plot and Visualize in Python
Master the art of data visualization with Seaborn confusion matrix plotting. Evaluate model performance like a pro.
5 Ways to Measure Execution Time in Python
You can benchmark the execution of Python code using the “time” module in the standard library. In this tutorial, you will discover how to time the execution of Python code using a suite of different techniques.
https://superfastpython.com/benchmark-execution-time/
You can benchmark the execution of Python code using the “time” module in the standard library. In this tutorial, you will discover how to time the execution of Python code using a suite of different techniques.
https://superfastpython.com/benchmark-execution-time/
Super Fast Python
5 Ways to Measure Execution Time in Python - Super Fast Python
You can benchmark the execution of Python code using the “time” module in the standard library. In this tutorial, you will discover how to time the execution of Python code using a suite of different techniques. Let’s get started. Need to Time Python Code…
Octogen
Octogen is an Open-Source Code Interpreter Powered by GPT3.5/4 and Codellama.
https://github.com/dbpunk-labs/octogen
Octogen is an Open-Source Code Interpreter Powered by GPT3.5/4 and Codellama.
https://github.com/dbpunk-labs/octogen
GitHub
GitHub - dbpunk-labs/octogen: Octogen is an Open-Source Code Interpreter Agent Framework
Octogen is an Open-Source Code Interpreter Agent Framework - dbpunk-labs/octogen
kernel-hardening-checker
A tool for checking the security hardening options of the Linux kernel.
https://github.com/a13xp0p0v/kernel-hardening-checker
A tool for checking the security hardening options of the Linux kernel.
https://github.com/a13xp0p0v/kernel-hardening-checker
GitHub
GitHub - a13xp0p0v/kernel-hardening-checker: A tool for checking the security hardening options of the Linux kernel
A tool for checking the security hardening options of the Linux kernel - a13xp0p0v/kernel-hardening-checker
Building an API in the cloud in fewer than 200 lines of code
Cloud tools and Python packages have become so powerful that you can build a (scalable) cloud-based API in fewer than 200 lines of code. In this post, you’ll see how to use Google Cloud, Terraform, and FastAPI to deploy a queryable data API on the cloud.
https://aeturrell.com/blog/posts/build-a-cloud-api/build-a-cloud-api.html
Cloud tools and Python packages have become so powerful that you can build a (scalable) cloud-based API in fewer than 200 lines of code. In this post, you’ll see how to use Google Cloud, Terraform, and FastAPI to deploy a queryable data API on the cloud.
https://aeturrell.com/blog/posts/build-a-cloud-api/build-a-cloud-api.html
Aeturrell
Building an API in the cloud in fewer than 200 lines of code
Arthur Turrell is an economic data scientist.
mistral-src
Reference implementation of Mistral AI 7B v0.1 model.
https://github.com/mistralai/mistral-src
Reference implementation of Mistral AI 7B v0.1 model.
https://github.com/mistralai/mistral-src
GitHub
GitHub - mistralai/mistral-inference: Official inference library for Mistral models
Official inference library for Mistral models. Contribute to mistralai/mistral-inference development by creating an account on GitHub.
A tool that detects, extracts templates, and structures logs, via GPT-4.
A command-line tool that detects, extracts log templates, and structures logs to in-process database, leveraging template patterns generated by GPT-4.
https://github.com/ethe/log2row
A command-line tool that detects, extracts log templates, and structures logs to in-process database, leveraging template patterns generated by GPT-4.
https://github.com/ethe/log2row
GitHub
GitHub - ethe/log2row: A command-line tool that detects, extracts log templates, and structuring logs to in-process database, leveraging…
A command-line tool that detects, extracts log templates, and structuring logs to in-process database, leveraging template patterns generated by GPT-4. - GitHub - ethe/log2row: A command-line tool ...
Python variables, references and mutability
SummaryThe analogy of putting things in a box that works for most languages to explain variables ...
https://www.bitecode.dev/p/python-variables-references-and-mutability
SummaryThe analogy of putting things in a box that works for most languages to explain variables ...
https://www.bitecode.dev/p/python-variables-references-and-mutability
www.bitecode.dev
Python variables, references and mutability
There are many articles like it, but this one is mine
Exploring Wordle
This article will show you how to solve Wordle programmatically using Python.
https://www.georgevreilly.com/2023/09/26/ExploringWordle.html
This article will show you how to solve Wordle programmatically using Python.
https://www.georgevreilly.com/2023/09/26/ExploringWordle.html
Georgevreilly
Exploring Wordle
Unless YOUVE LIVED UNDER ROCKS, you've heard of Wo...
cloud_benchmarker
Cloud Benchmarker automates performance testing of cloud instances, offering insightful charts and tracking over time.
https://github.com/Dicklesworthstone/cloud_benchmarker
Cloud Benchmarker automates performance testing of cloud instances, offering insightful charts and tracking over time.
https://github.com/Dicklesworthstone/cloud_benchmarker
GitHub
GitHub - Dicklesworthstone/cloud_benchmarker: Cloud Benchmarker automates performance testing of cloud instances, offering insightful…
Cloud Benchmarker automates performance testing of cloud instances, offering insightful charts and tracking over time. - Dicklesworthstone/cloud_benchmarker
ECTO-1A / AppleJuice
Apple BLE proximity pairing message spoofing
https://github.com/ECTO-1A/AppleJuice
Apple BLE proximity pairing message spoofing
https://github.com/ECTO-1A/AppleJuice
GitHub
GitHub - ECTO-1A/AppleJuice: Apple BLE proximity pairing message spoofing
Apple BLE proximity pairing message spoofing. Contribute to ECTO-1A/AppleJuice development by creating an account on GitHub.
Scaling Large (Language) Models with PyTorch Lightning
Learn about techniques to train large models like Llama and Stable Diffusion using PyTorch Lightning.
https://lightning.ai/blog/scaling-large-language-models-with-pytorch-lightning/
Learn about techniques to train large models like Llama and Stable Diffusion using PyTorch Lightning.
https://lightning.ai/blog/scaling-large-language-models-with-pytorch-lightning/
Lightning AI
Scaling Large (Language) Models with PyTorch Lightning - Lightning AI
In this blog, you will learn about techniques to train large models like Llama (or any LLM) and Stable Diffusion using distributed training strategy FSDP with PyTorch Lightning. In recent times, there has been a notable shift in the scale of models, particularly…