nowfound

Alternatives

Products that do what LPY LLM Based compiler to Python does

https://github.com/wandwan/LPY (April Fools)

  1. 1PT
  2. 2HT

    2017 · blog.klipse.tech

  3. 3PT

    2020 · github.com

  4. 4AC
  5. 5PP

    Hi everyone! I just released the Practical Python Projects book! (https://practicalpython.yasoob.me) I am happy to announce the first version as a release candidate. I have poured a lot of love into writing this book and would love to hear what you guys think. (A limited 100% off and discount coupons at the end) This is not a pure beginner book. The book does assume some background Python knowledge. You need to know the basics like methods, functions, classes, and such. If I use something that is not typically covered in beginner Python books, I will explain it before I use it.…

    2021 · practicalpython.yasoob.me

  6. 6SH
  7. 7NL

    Hey folks, I just wanted to share a quick script I threw together called notational ls. One of the big problems of any code base (or any filesystem) is that it's hard to tell what's what - folder and file names often trade brevity for clarity. So I thought about a version of `ls` that works like this: > nls web: Where python web server files are stored ad_hoc: One time scripts ios: Our IOS code images Adding descriptions is really easy too: > nls images Images SHARED between both ios and web web: Where python web server files are stored ad_hoc: One time scripts ios: Our IOS code…

    2011

  8. 8AE
  9. 9IL
  10. 10VA

    https://github.com/iogf/vy

    2017

  11. 11CR

    hi everyone. how does moving llm call prompts and output structure definitions away from code into configuration land sound? would you use something like this if it was stable and well documented enough? please don't hold back the criticism. i appreciate all feedback (constructive & otherwise).

    2024 · github.com

  12. 12WB

    Here is a production-first Keras-inspired LM framework, built with the advice of François Chollet (ex-Google, creator of Keras and ARC-AGI), our technical advisor. This system have already been deployed in production with our clients (which is why we have already every LLMOps practice implemented). It is also compatible with Jupyter and Marimo to integrate seamlessly in you Data Scientists workflows. You can try the code examples online on HF space and you can find more information in the documentation and FAQ. If you have any feedback for us don't hesitate to join our discord! More releases…

    2025 · github.com

  13. 13LW

    Apr 2026 · github.com

  14. 14MS

    @cmpyl Tweet a line of python at it (right now it works best with math) and it'll tweet back at you the return value. Ex: https://twitter.com/#!/cmpyl/status/186850674053615616 Pretty useless little bot but it will be cool to see what sort of wild one liners it finds.

    2012

  15. 15LC

    2023 · github.com

  16. 16AS
  17. 17PA
  18. 18PT
  19. 19AC
  20. 20IL

    2025 · github.com

  21. 21UA

    Hey HN! After using a combination of Unsloth and Axolotl a lot, and finding it generally painful to figure out the right performance tuning for things like batch sizing and multi-GPU sharding, I wrote a small Python lib that sets up known-good LoRA training configurations for Llama 3.1 8B and 70B Instruct, and includes helpers for distilling from larger models or training on serverless finetuning platforms, and includes a walkthrough for distilling DeepSeek-R1 into a Llama 3.1 8B LoRA... But you can use it for pretty much any finetuning task, not just distilling large models!

    2025 · github.com

  22. 22LA

    We combined Stanford's ACE (agents learning from execution feedback) with the Reflective Language Model pattern. Instead of reading traces in a single pass, an LLM writes and runs Python in a sandbox to programmatically explore them - finding cross-trace patterns that single-pass analysis misses. The framework achieved 2x consistency improvement on τ2-bench.

    Mar 2026 · github.com

  23. 23IA
  24. 24I8

Ranked by how close each launch is in meaning, then by votes. Refine with a description →