cirediatpl / FigmaChain
FigmaChain is a set of Python scripts that generate HTML/CSS code based on Figma designs. Using OpenAI's GPT-3 model, FigmaChain enables developers to quickly generate HTML/CSS code from a Figma design input. It also includes a Streamlit-based chatbot interface for interactive code generation.
https://github.com/cirediatpl/FigmaChain
FigmaChain is a set of Python scripts that generate HTML/CSS code based on Figma designs. Using OpenAI's GPT-3 model, FigmaChain enables developers to quickly generate HTML/CSS code from a Figma design input. It also includes a Streamlit-based chatbot interface for interactive code generation.
https://github.com/cirediatpl/FigmaChain
GitHub
GitHub - cirediatpl/FigmaChain: FigmaChain is a set of Python scripts that generate HTML/CSS code based on Figma designs. Using…
FigmaChain is a set of Python scripts that generate HTML/CSS code based on Figma designs. Using OpenAI's GPT-3 model, FigmaChain enables developers to quickly generate HTML/CSS code from a ...
I made a library for making user terminal input really really pretty!
https://www.reddit.com/r/Python/comments/13z53lo/i_made_a_library_for_making_user_terminal_input/
https://www.reddit.com/r/Python/comments/13z53lo/i_made_a_library_for_making_user_terminal_input/
Reddit
r/Python on Reddit: I made a library for making user terminal input really really pretty!
Posted by u/Re-Exahilosys - No votes and no comments
gventuri / pandas-ai
Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational
https://github.com/gventuri/pandas-ai
Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational
https://github.com/gventuri/pandas-ai
GitHub
GitHub - sinaptik-ai/pandas-ai: Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational…
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG. - sinaptik-ai/pandas-ai
2023 State of Data + AI
This report provides insights into the evolving data landscape, highlighting the increasing importance of AI and machine learning and the challenges organizations face in harnessing the power of data for innovation and growth.
https://www.databricks.com/sites/default/files/2023-05/databricks-2023-state-of-data-report.pdf
This report provides insights into the evolving data landscape, highlighting the increasing importance of AI and machine learning and the challenges organizations face in harnessing the power of data for innovation and growth.
https://www.databricks.com/sites/default/files/2023-05/databricks-2023-state-of-data-report.pdf
Securing PyPI accounts via Two-Factor Authentication
PyPI will require all users who maintain projects or organizations to enable one or more forms of two-factor authentication (2FA) by the end of 2023.
https://blog.pypi.org/posts/2023-05-25-securing-pypi-with-2fa/
PyPI will require all users who maintain projects or organizations to enable one or more forms of two-factor authentication (2FA) by the end of 2023.
https://blog.pypi.org/posts/2023-05-25-securing-pypi-with-2fa/
blog.pypi.org
Securing PyPI accounts via Two-Factor Authentication - The Python Package Index Blog
PyPI will require all users who maintain projects or organizations to enable one or more forms of two-factor authentication (2FA) by the end of 2023.
richardyc / Chrome-GPT
An AutoGPT agent that controls Chrome on your desktop
https://github.com/richardyc/Chrome-GPT
An AutoGPT agent that controls Chrome on your desktop
https://github.com/richardyc/Chrome-GPT
GitHub
GitHub - richardyc/Chrome-GPT: An AutoGPT agent that controls Chrome on your desktop
An AutoGPT agent that controls Chrome on your desktop - richardyc/Chrome-GPT
Python adventures: Finding unused dependencies
The author discusses a Python script he created that helps identify and remove unused dependencies in Python projects, improving code efficiency and reducing unnecessary bloat. The post provides a step-by-step guide on how to use the script and highlights its benefits for developers.
https://www.nathanfurnal.xyz/posts/py-find-unused-deps/
The author discusses a Python script he created that helps identify and remove unused dependencies in Python projects, improving code efficiency and reducing unnecessary bloat. The post provides a step-by-step guide on how to use the script and highlights its benefits for developers.
https://www.nathanfurnal.xyz/posts/py-find-unused-deps/
SuperAGI
Infrastructure for building useful Autonomous Agents.
https://github.com/TransformerOptimus/SuperAGI
Infrastructure for building useful Autonomous Agents.
https://github.com/TransformerOptimus/SuperAGI
GitHub
GitHub - TransformerOptimus/SuperAGI: <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers…
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably. - TransformerOptimus/SuperAGI
mlc-ai / mlc-llm
Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
https://github.com/mlc-ai/mlc-llm
Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
https://github.com/mlc-ai/mlc-llm
GitHub
GitHub - mlc-ai/mlc-llm: Universal LLM Deployment Engine with ML Compilation
Universal LLM Deployment Engine with ML Compilation - mlc-ai/mlc-llm
IntelligenzaArtificiale / Free-Auto-GPT
Free Auto GPT with NO paids API is a repository that offers a simple version of Auto GPT, an autonomous AI agent capable of performing tasks independently. Unlike other versions, our implementation does not rely on any paid OpenAI API, making it accessible to anyone.
https://github.com/IntelligenzaArtificiale/Free-Auto-GPT
Free Auto GPT with NO paids API is a repository that offers a simple version of Auto GPT, an autonomous AI agent capable of performing tasks independently. Unlike other versions, our implementation does not rely on any paid OpenAI API, making it accessible to anyone.
https://github.com/IntelligenzaArtificiale/Free-Auto-GPT
GitHub
GitHub - IntelligenzaArtificiale/Free-Auto-GPT: Free Auto GPT with NO paids API is a repository that offers a simple version of…
Free Auto GPT with NO paids API is a repository that offers a simple version of Auto GPT, an autonomous AI agent capable of performing tasks independently. Unlike other versions, our implementation...
ChainForge
An open-source visual programming environment for battle-testing prompts to LLMs.
https://github.com/ianarawjo/ChainForge
An open-source visual programming environment for battle-testing prompts to LLMs.
https://github.com/ianarawjo/ChainForge
GitHub
GitHub - ianarawjo/ChainForge: An open-source visual programming environment for battle-testing prompts to LLMs.
An open-source visual programming environment for battle-testing prompts to LLMs. - ianarawjo/ChainForge
WingmanAI
Real-time transcription of audio, integrated with ChatGPT for interactive use. Save, load, and append transcripts for effective context management in conversations.
https://github.com/e-johnstonn/wingmanAI
Real-time transcription of audio, integrated with ChatGPT for interactive use. Save, load, and append transcripts for effective context management in conversations.
https://github.com/e-johnstonn/wingmanAI
GitHub
GitHub - e-johnstonn/wingmanAI: Real-time transcription of audio, integrated with ChatGPT for interactive use. Save, load, and…
Real-time transcription of audio, integrated with ChatGPT for interactive use. Save, load, and append transcripts for effective context management in conversations. - e-johnstonn/wingmanAI
(Failed - but working 100%) Interview challenge
https://www.reddit.com/r/Python/comments/137gvt9/failed_but_working_100_interview_challenge/
https://www.reddit.com/r/Python/comments/137gvt9/failed_but_working_100_interview_challenge/
AutoGPTQ
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
https://github.com/PanQiWei/AutoGPTQ
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
https://github.com/PanQiWei/AutoGPTQ
GitHub
GitHub - AutoGPTQ/AutoGPTQ: An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm. - AutoGPTQ/AutoGPTQ
Representing Monetary Values in Python
Understanding how to accurately represent monetary values in Python is crucial for building financial applications, analyzing data, or simply improving your coding skills. This tutorial explores the various techniques and best practices for effectively working with money.
https://www.youtube.com/watch?v=0kzjD6jvfnk
Understanding how to accurately represent monetary values in Python is crucial for building financial applications, analyzing data, or simply improving your coding skills. This tutorial explores the various techniques and best practices for effectively working with money.
https://www.youtube.com/watch?v=0kzjD6jvfnk
YouTube
Representing Monetary Values in Python
Understanding how to accurately represent monetary values in Python is crucial for building financial applications, analyzing data, or simply improving your coding skills. In this tutorial, I'll explore the various techniques and best practices for effectively…
Blazing Fast ETLs with Simultaneous MultiProcessing and MultiThreading
The post delves into the techniques and benefits of using simultaneous multiprocessing and multithreading for ETL (Extract, Transform, Load) processes. It explores how leveraging these parallel processing approaches can significantly improve the performance and efficiency of ETL tasks, resulting in faster data processing and enhanced overall productivity.
https://heyashy.medium.com/blazing-fast-etls-with-simultaneous-multiprocessing-and-multithreading-214865b56516
The post delves into the techniques and benefits of using simultaneous multiprocessing and multithreading for ETL (Extract, Transform, Load) processes. It explores how leveraging these parallel processing approaches can significantly improve the performance and efficiency of ETL tasks, resulting in faster data processing and enhanced overall productivity.
https://heyashy.medium.com/blazing-fast-etls-with-simultaneous-multiprocessing-and-multithreading-214865b56516
Medium
Blazing Fast ETLs with Simultaneous MultiProcessing and MultiThreading
How I got a 66.4x reduction in code execution time