PythonHub

XTuner XTuner is a toolkit for efficiently fine-tuning LLM. https://github.com/InternLM/xtuner

i built an entire web framework from scratch https://www.reddit.com/r/Python/comments/16e5jkg/i_built_an_entire_web_framework_from_scratch/

microsoft / Llama-2-Onnx https://github.com/microsoft/Llama-2-Onnx

Debugging Catastrophic Backtracking for Regular Expressions in Python https://krishnanchandra.com/posts/regex-catastrophic-backtracking/

Learning Pandas? Start Here. A high paced overview of many of the pandas core functionality. As one of the most popular libraries in all of programming, Pandas is an essential tool for learning data wrangling. Watch this video to get a good foundational understanding of what is possible. https://www.youtube.com/watch?v=DkjCaAMBGWM

Python Hub Weekly Digest for 2023-09-10 https://pythonhub.dev/digest/2023-09-10/

firmai / financial-machine-learning A curated list of practical financial machine learning tools and applications. https://github.com/firmai/financial-machine-learning

Toml-bench – Which toml package to use in Python? https://github.com/pwwang/toml-bench

Show HN: Modular Diffusion – A modular Python library for diffusion models https://github.com/cabralpinto/modular-diffusion

Create a Large Language Model from Scratch with Python Learn how to build your own large language model, from scratch. This course goes into the data handling, math, and transformers behind large language models. You will use Python. https://www.youtube.com/watch?v=UU1WVnMk4E8

An Intro to Protocol Buffers with Python Protocol buffers are a data serialization format that is language agnostic. They are analogous to ... https://www.blog.pythonlibrary.org/2023/08/30/an-intro-to-protocol-buffers-with-python/

Self-Taught: How do I know I’d my coding is “good” rather than just functional? https://www.reddit.com/r/learnpython/comments/1684vs4/selftaught_how_do_i_know_id_my_coding_is_good/

Artwork Similarity Search: Exploring the Power of Vector Databases This article will walk you through some of the basic concepts of vector databases, and we will build an end to end artwork similarity search project using Qdrant Vector database and Streamlit. https://www.otmaneboughaba.com/artwork-similarity-search

Marketing Automations Notebooks With GPT A collection of automations and experiments exploring the applications of generative AI in Marketing, SEO, and Public Relations https://github.com/ktynski/Marketing_Automations_Notebooks_With_GPT

Pandas 2.1 https://pandas.pydata.org/docs/whatsnew/v2.1.0.html

The Janus System: Multi-Paradigm Programming in Prolog and Python https://arxiv.org/abs/2308.15893

krypton Data encryption at rest and IAM for Python. https://github.com/krptn/krypton

huggingface / autotrain-advanced 🤗 AutoTrain Advanced https://github.com/huggingface/autotrain-advanced

langgenius / dify One API for plugins and datasets, one interface for prompt engineering and visual operation, all for creating powerful AI applications. https://github.com/langgenius/dify

Scheduling Jupyter Notebooks at Meta The article discusses Facebook's approach to scheduling Jupyter notebooks for automated data analysis and security auditing, emphasizing the challenges faced and the system's architecture to ensure efficiency and security in their workflow automation. https://engineering.fb.com/2023/08/29/security/scheduling-jupyter-notebooks-meta/