Rift
An AI-native language server for your personal AI software engineer.
https://github.com/morph-labs/rift
An AI-native language server for your personal AI software engineer.
https://github.com/morph-labs/rift
Introducing an Open-Source Python API for AI Image Generator Midjourney
https://www.reddit.com/r/Python/comments/13tndcj/introducing_an_opensource_python_api_for_ai_image/
https://www.reddit.com/r/Python/comments/13tndcj/introducing_an_opensource_python_api_for_ai_image/
Reddit
From the Python community on Reddit: Introducing an Open-Source Python API for AI Image Generator Midjourney
Explore this post and more from the Python community
I wrote a package for creating pip constraints based on known security vulnerabilities
https://www.reddit.com/r/Python/comments/146dq8d/i_wrote_a_package_for_creating_pip_constraints/
https://www.reddit.com/r/Python/comments/146dq8d/i_wrote_a_package_for_creating_pip_constraints/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
OpenLLM
An open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
https://github.com/bentoml/OpenLLM
An open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
https://github.com/bentoml/OpenLLM
GitHub
GitHub - bentoml/OpenLLM: Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud. - bentoml/OpenLLM
sjvasquez / handwriting-synthesis
Handwriting Synthesis with RNNs ✏️
https://github.com/sjvasquez/handwriting-synthesis
Handwriting Synthesis with RNNs ✏️
https://github.com/sjvasquez/handwriting-synthesis
GitHub
GitHub - sjvasquez/handwriting-synthesis: Handwriting Synthesis with RNNs ✏️
Handwriting Synthesis with RNNs ✏️. Contribute to sjvasquez/handwriting-synthesis development by creating an account on GitHub.
Building Search DSLs with Django
The article explains how to build a custom search DSL (Domain Specific Language) for Django projects. The DSL allows users to search for content in a more natural way, using keywords and phrases instead of complex SQL queries.
https://danlamanna.com/posts/building-search-dsls-with-django/
The article explains how to build a custom search DSL (Domain Specific Language) for Django projects. The DSL allows users to search for content in a more natural way, using keywords and phrases instead of complex SQL queries.
https://danlamanna.com/posts/building-search-dsls-with-django/
Danlamanna
Building Search DSLs with Django
Search capabilities span from free text (think Google) to raw data access (think SQL). In between, there’s a wide range of options for narrowing a search that are often provided with UI elements. But what if there are too many fields for a UI to search on?…
Playing with Streamlit and LLMs.
This post describes how to use Streamlit to build a simple interface for interacting with large language models (LLMs). It also includes code examples that show how to use Streamlit to display text, images, and tables, and to interact with LLMs through prompts and queries.
https://lethain.com/streamlit-llms/
This post describes how to use Streamlit to build a simple interface for interacting with large language models (LLMs). It also includes code examples that show how to use Streamlit to display text, images, and tables, and to interact with LLMs through prompts and queries.
https://lethain.com/streamlit-llms/
Lethain
Playing with Streamlit and LLMs.
Recently I’ve been chatting with a number of companies who are building out internal LLM labs/tools for their teams to make it easy to test LLMs against their internal usecases. I wanted to take a couple hours to see how far I could get using Streamlit to…
localrf
An algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video.
https://github.com/facebookresearch/localrf
An algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video.
https://github.com/facebookresearch/localrf
GitHub
GitHub - facebookresearch/localrf: An algorithm for reconstructing the radiance field of a large-scale scene from a single casually…
An algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video. - facebookresearch/localrf
Remote Interactive Debugging of Python Applications Running in Kubernetes
In this tutorial we will create a setup for remote debugging of Python applications running in Kubernetes, which will allow you to set breakpoints, step through code, and interactively debug your applications without any change to your code or deployment.
https://martinheinz.dev/blog/99
In this tutorial we will create a setup for remote debugging of Python applications running in Kubernetes, which will allow you to set breakpoints, step through code, and interactively debug your applications without any change to your code or deployment.
https://martinheinz.dev/blog/99
martinheinz.dev
Remote Interactive Debugging of Python Applications Running in Kubernetes
<p>
Let's imagine a situation - you have multiple Python applications running on Kubernetes that interact with each other. There's bug that you can't repro...
Let's imagine a situation - you have multiple Python applications running on Kubernetes that interact with each other. There's bug that you can't repro...
arguably
arguably turns functions into command line interfaces (CLIs). arguably has a tiny API and is extremely easy to integrate.
https://github.com/treykeown/arguably
arguably turns functions into command line interfaces (CLIs). arguably has a tiny API and is extremely easy to integrate.
https://github.com/treykeown/arguably
GitHub
GitHub - treykeown/arguably: The best Python CLI library, arguably.
The best Python CLI library, arguably. Contribute to treykeown/arguably development by creating an account on GitHub.
The Annotated S4
This post provides an overview of the Structured State Space for Sequence Modeling (S4) architecture which is a new approach to very long-range sequence modeling tasks for vision, language, and audio, showing a capacity to capture dependencies over tens of thousands of steps. It also includes code implementations that allow readers to experiment with the S4 architecture.
https://srush.github.io/annotated-s4
This post provides an overview of the Structured State Space for Sequence Modeling (S4) architecture which is a new approach to very long-range sequence modeling tasks for vision, language, and audio, showing a capacity to capture dependencies over tens of thousands of steps. It also includes code implementations that allow readers to experiment with the S4 architecture.
https://srush.github.io/annotated-s4
Designing Pythonic library APIs
The article discusses some principles for designing good Python library APIs, including structure, naming, error handling, type annotations, and more. The author argues that Python's flexibility can be a double-edged sword, and that it's important to design APIs that are easy to use and understand.
https://benhoyt.com/writings/python-api-design/
The article discusses some principles for designing good Python library APIs, including structure, naming, error handling, type annotations, and more. The author argues that Python's flexibility can be a double-edged sword, and that it's important to design APIs that are easy to use and understand.
https://benhoyt.com/writings/python-api-design/
Benhoyt
Designing Pythonic library APIs
Principles I've found useful for designing good Python library APIs, including structure, naming, error handling, and type annotations.
ChristianLempa / videos
This is my video documentation. Here you'll find code-snippets, technical documentation, templates, command reference, and whatever is needed for all my YouTube Videos.
https://github.com/ChristianLempa/videos
This is my video documentation. Here you'll find code-snippets, technical documentation, templates, command reference, and whatever is needed for all my YouTube Videos.
https://github.com/ChristianLempa/videos
GitHub
GitHub - ChristianLempa/videos: This is my video documentation. Here you'll find code-snippets, technical documentation, templates…
This is my video documentation. Here you'll find code-snippets, technical documentation, templates, command reference, and whatever is needed for all my YouTube Videos. - ChristianLempa/videos
Geospatial Data in your Graph
In this stream we explore some techniques for working with geospatial data in Neo4j. We will cover some basic spatial Cypher functions, spatial search, routing algorithms, and different methods of importing geospatial data into Neo4j.
https://www.youtube.com/watch?v=djMsdSxvd2E
In this stream we explore some techniques for working with geospatial data in Neo4j. We will cover some basic spatial Cypher functions, spatial search, routing algorithms, and different methods of importing geospatial data into Neo4j.
https://www.youtube.com/watch?v=djMsdSxvd2E
YouTube
Neo4j Live: Geospatial Data in your Graph
In this stream we explore some techniques for working with geospatial data in Neo4j. We will cover some basic spatial Cypher functions, spatial search, routing algorithms, and different methods of importing geospatial data into Neo4j.
Cheat Sheet: htt…
Cheat Sheet: htt…