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News & links about Python programming. https://pythonhub.dev/ Administrator: @rukeba

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roop

one-click deepfake (face swap)

https://github.com/s0md3v/roop

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PythonHub

Don’t let yourself be fooled by data drift

The purpose of this post is to demonstrate that not all data drift impacts model performance. Making drift methods hard to trust since they tend to produce a large number of false alarms. To illustrate this point, we will train an ML model using a real-world dataset, monitor the distribution of the model's features in production, and report any data drift that might occur.

https://www.nannyml.com/blog/when-data-drift-does-not-affect-performance-machine-learning-models

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PythonHub

PyCon US 2023 Video

Recordings from PyCon US 2023 in Salt Lake City, UT.

https://www.youtube.com/playlist?list=PL2Uw4_HvXqvY2zhJ9AMUa_Z6dtMGF3gtb

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PythonHub

Valid Python syntax – by Nobody has time for Python

https://www.bitecode.dev/p/this-is-valid-python-syntax

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PythonHub

PyStack

PyStack is a tool that uses forbidden magic to let you inspect the stack frames of a running Python process or a Python core dump, helping you quickly and easily learn what it's doing (or what it was doing when it crashed) without having to interpret nasty CPython internals.

https://github.com/bloomberg/pystack

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PythonHub

string2string

String-to-String Algorithms for Natural Language Processing.

https://github.com/stanfordnlp/string2string

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PythonHub

threestudio

A unified framework for 3D content generation.

https://github.com/threestudio-project/threestudio

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PythonHub

Writing a KVM hypervisor VMM in Python

An experimental VMM for KVM written in Python. This is simply an experimental proof of concept which was hacked together enough to be able to boot OVMF, then install Linux on a disk and boot it.

https://www.devever.net/~hl/kvm

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PythonHub

Ruff: A Fast Python Linter

https://lwn.net/Articles/930487/

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PythonHub

flood

flood is a load testing tool for benchmarking EVM nodes over RPC

https://github.com/paradigmxyz/flood

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PythonHub

Sophia

Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs.

https://github.com/kyegomez/Sophia

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PythonHub

bigcode-project / starcoder

Home of StarCoder: fine-tuning & inference!

https://github.com/bigcode-project/starcoder

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PythonHub

Voyager

An Open-Ended Embodied Agent with Large Language Models.

https://github.com/MineDojo/Voyager

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PythonHub

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

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PythonHub

(Failed - but working 100%) Interview challenge

https://www.reddit.com/r/Python/comments/137gvt9/failed_but_working_100_interview_challenge/

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PythonHub

Hiera

A Hierarchical Vision Transformer without the Bells-and-Whistles.

https://github.com/facebookresearch/hiera

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PythonHub

LangChain Crash Course - Build apps with language models

https://www.youtube.com/watch?v=LbT1yp6quS8

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PythonHub

Refactoring a Command Line Shell | Code Roast Part 1

Watch the video to witness the transformation from average to exceptional code in Part 1 of 2 videos.

https://www.youtube.com/watch?v=TDgouhWA13A

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PythonHub

Lanarky

Lanarky is an open-source framework to deploy LLM applications in production. It is built on top of FastAPI and comes with batteries included.

https://github.com/ajndkr/lanarky

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PythonHub

Python 3.11.4, 3.10.12, 3.9.17, 3.8.17, 3.7.17, and 3.12.0 beta 2 are now available

https://pythoninsider.blogspot.com/2023/06/python-3114-31012-3917-3817-3717-and.html

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PythonHub

Chaos Theory: Animated in Python

https://www.reddit.com/r/madeinpython/comments/140k6fk/chaos_theory_animated_in_python/

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PythonHub

JupyterLab 4.0 is Here

The Jupyter contributor community is proud to announce JupyterLab 4.0, the next major release of our full-featured development environment. The package is now available on PyPI and conda-forge. You can upgrade by running pip install --upgrade jupyterlab or conda install -c conda-forge jupyterlab.

https://blog.jupyter.org/jupyterlab-4-0-is-here-388d05e03442

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PythonHub

Functional Python Programming

https://docs.python.org/3/howto/functional.html

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PythonHub

chatdocs

Chat with your documents offline using AI.

https://github.com/marella/chatdocs

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PythonHub

aviary

Evaluate multiple LLMs easily.

https://github.com/ray-project/aviary

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PythonHub

Olive

Olive is an easy-to-use hardware-aware model optimization tool that composes industry-leading techniques across model compression, optimization, and compilation.

https://github.com/microsoft/Olive

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PythonHub

The Many Problems with Celery

The post discusses the challenges and limitations of using Celery, a distributed task queue framework in Python, highlighting issues related to scalability, error handling, and deployment complexities.

https://steve.dignam.xyz/2023/05/20/many-problems-with-celery/

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PythonHub

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

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PythonHub

AutoGPTQ

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

https://github.com/PanQiWei/AutoGPTQ

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PythonHub

acheong08 / Bard

Python SDK/API for reverse engineered Google Bard

https://github.com/acheong08/Bard

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