FastVideo
FastVideo is an open-source framework for accelerating large video diffusion model.
https://github.com/hao-ai-lab/FastVideo
FastVideo is an open-source framework for accelerating large video diffusion model.
https://github.com/hao-ai-lab/FastVideo
GitHub
GitHub - hao-ai-lab/FastVideo: FastVideo is a unified framework for accelerated video generation.
FastVideo is a unified framework for accelerated video generation. - hao-ai-lab/FastVideo
WOWY
A full-featured e-commerce platform built with Django, featuring a robust admin panel and modern user interface.
https://github.com/manjurulhoque/wowy
A full-featured e-commerce platform built with Django, featuring a robust admin panel and modern user interface.
https://github.com/manjurulhoque/wowy
GitHub
GitHub - manjurulhoque/wowy: WOWY is a modern, full-featured e-commerce platform built with Django 4.x, designed to provide a seamless…
WOWY is a modern, full-featured e-commerce platform built with Django 4.x, designed to provide a seamless shopping experience for both customers and administrators. This comprehensive solution offe...
UV and Ruff: Next-gen Python Tooling
UV and Ruff are presented as a powerful duo for modern Python development, with UV accelerating the development cycle and Ruff streamlining code review. This presentation promises to enhance coding practices and boost productivity for developers of all levels, showcasing these tools as essential for cleaner, faster, and more robust Python code.
https://www.youtube.com/watch?v=ifj-izwXKRA
UV and Ruff are presented as a powerful duo for modern Python development, with UV accelerating the development cycle and Ruff streamlining code review. This presentation promises to enhance coding practices and boost productivity for developers of all levels, showcasing these tools as essential for cleaner, faster, and more robust Python code.
https://www.youtube.com/watch?v=ifj-izwXKRA
YouTube
UV and Ruff: Next-gen Python Tooling
Dive into the dynamic duo of modern Python development – UV and Ruff!
If you've ever felt like your code could use a little more polish but you're short on time, then this presentation is your golden ticket. UV will be showcased for its ability to accelerate…
If you've ever felt like your code could use a little more polish but you're short on time, then this presentation is your golden ticket. UV will be showcased for its ability to accelerate…
TypeScribe
TypeScribe is a tool that uses Machine Learning to convert typed text into realistic handwriting by introducing customizable degrees of randomness and variations, to make it all so believable.
https://github.com/rudyoactiv/typescribe-handwriting
TypeScribe is a tool that uses Machine Learning to convert typed text into realistic handwriting by introducing customizable degrees of randomness and variations, to make it all so believable.
https://github.com/rudyoactiv/typescribe-handwriting
GitHub
GitHub - rudyoactiv/typescribe-handwriting: ⚡ Create handwritten documents from text with a Neural Network!
⚡ Create handwritten documents from text with a Neural Network! - rudyoactiv/typescribe-handwriting
PipeFunc: Build Lightning-Fast Pipelines with Python - DAGs Made Easy
https://www.reddit.com/r/Python/comments/1hk85dp/pipefunc_build_lightningfast_pipelines_with/
https://www.reddit.com/r/Python/comments/1hk85dp/pipefunc_build_lightningfast_pipelines_with/
Reddit
From the Python community on Reddit: PipeFunc: Build Lightning-Fast Pipelines with Python - DAGs Made Easy
Explore this post and more from the Python community
How the CIA Writes Python
The article explores the CIA's Python coding practices, including their style guide based on Google's, preferences for Python versions, and practical insights on development tools. It highlights unique aspects like using local PyPI servers, specific testing setups, and templates for CLI scripts, reflecting a blend of security considerations and pragmatic development approaches.
https://compileralchemy.substack.com/p/how-the-cia-writes-python
The article explores the CIA's Python coding practices, including their style guide based on Google's, preferences for Python versions, and practical insights on development tools. It highlights unique aspects like using local PyPI servers, specific testing setups, and templates for CLI scripts, reflecting a blend of security considerations and pragmatic development approaches.
https://compileralchemy.substack.com/p/how-the-cia-writes-python
Substack
How the CIA Writes Python
The CIA uses Python for hacking as well as utility scripts.
Debugging Python with VS Code and Sentry
Pairing VS Code and Sentry can lead to quicker resolved issues in your app. Learn how to debug your Python project with these two tools here.
https://blog.sentry.io/debugging-python-with-vs-code-and-sentry/
Pairing VS Code and Sentry can lead to quicker resolved issues in your app. Learn how to debug your Python project with these two tools here.
https://blog.sentry.io/debugging-python-with-vs-code-and-sentry/
Product Blog • Sentry
Debugging Python with VS Code and Sentry
Pairing VS Code & Sentry can lead to quicker resolved issues in your app. Learn how to debug your Python project with these two tools here.
systemd-pilot
Desktop application for managing systemd services.
https://github.com/mfat/systemd-pilot
Desktop application for managing systemd services.
https://github.com/mfat/systemd-pilot
GitHub
GitHub - mfat/systemd-pilot: Desktop application for managing systemd services
Desktop application for managing systemd services. Contribute to mfat/systemd-pilot development by creating an account on GitHub.
Building an LLM-Powered Slackbot
This article describes Benchling's development of a Slackbot powered by a Large Language Model (LLM). The LLM taps into a knowledge base stored in Amazon Bedrock, allowing developers to ask questions and receive answers directly through the familiar Slack interface.
https://benchling.engineering/building-an-llm-powered-slackbot-557a6241e993
This article describes Benchling's development of a Slackbot powered by a Large Language Model (LLM). The LLM taps into a knowledge base stored in Amazon Bedrock, allowing developers to ask questions and receive answers directly through the familiar Slack interface.
https://benchling.engineering/building-an-llm-powered-slackbot-557a6241e993
Medium
Building an LLM-Powered Slackbot
How Benchling built a Knowledge Base in Amazon Bedrock that answers common developer questions via a familiar Slack interface.
comet-ml / opik
From RAG chatbots to code assistants to complex agentic pipelines and beyond, build LLM systems that run better, faster, and cheaper with tracing, evaluations, and dashboards.
https://github.com/comet-ml/opik
From RAG chatbots to code assistants to complex agentic pipelines and beyond, build LLM systems that run better, faster, and cheaper with tracing, evaluations, and dashboards.
https://github.com/comet-ml/opik
GitHub
GitHub - comet-ml/opik: Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive…
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. - comet-ml/opik
All your Python project in one file with shiv
Summary(This article assumes you are comfy with pip + venv. If you are not, we have articles for ...
https://www.bitecode.dev/p/all-your-python-project-in-one-file
Summary(This article assumes you are comfy with pip + venv. If you are not, we have articles for ...
https://www.bitecode.dev/p/all-your-python-project-in-one-file
www.bitecode.dev
All your Python project in one file with shiv
Now guess which typo I always do with this tool
OpenSPG / KAG
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
https://github.com/OpenSPG/KAG
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
https://github.com/OpenSPG/KAG
GitHub
GitHub - OpenSPG/KAG: KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used…
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain kno...