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| ivy | icecream | |
|---|---|---|
| 17 | 41 | |
| 14,022 | 8,459 | |
| 0.5% | - | |
| 10.0 | 5.6 | |
| 6 days ago | 29 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ivy
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Keras 3.0
See also https://github.com/unifyai/ivy which I have not tried but seems along the lines of what you are describing, working with all the major frameworks
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Show HN: Carton – Run any ML model from any programming language
is this ancillary to what [these guys](https://github.com/unifyai/ivy) are trying to do?
- Ivy: All in one machine learning framework
- Ivy ML Transpiler and Framework
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[D] Keras 3.0 Announcement: Keras for TensorFlow, JAX, and PyTorch
https://unify.ai/ They are trying to do what Ivy is doing already.
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Ask for help: what is the best way to have code both support torch and numpy?
Check Ivy.
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CoreML Stable Diffusion
ROCm's great for data centers, but good luck finding anything about desktop GPUs on their site apart from this lone blog post: https://community.amd.com/t5/instinct-accelerators/exploring...
There's a good explanation of AMD's ROCm targets here: https://news.ycombinator.com/item?id=28200477
It's currently a PITA to get common Python libs like Numba to even talk to AMD cards (admittedly Numba won't talk to older Nvidia cards either and they deprecate ruthlessly; I had to downgrade 8 versions to get it working with a 5yo mobile workstation). YC-backed Ivy claims to be working on unifying ML frameworks in a hardware-agnostic way but I don't have enough experience to assess how well they're succeeding yet: https://lets-unify.ai
I was happy to see DiffusionBee does talk the GPU in my late-model intel Mac, though for some reason it only uses 50% of its power right now. I'm sure the situation will improve as Metal 3.0 and Vulkan get more established.
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DL Frameworks in a nutshell
Won't it all come together with https://lets-unify.ai/ ?
- Unified Machine Learning
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[Discussion] Opinions on unify AI
What do you think about unify AI https://lets-unify.ai.
icecream
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Show HN: Dbg.h: C macro for quick and dirty print debugging
Hey, very useful. Thanks! Similar to ic() for python, but with the nice ability to be used inline.
https://github.com/gruns/icecream
- When you are looking at someone else's code base and you want to make a copy of it to put in a million print statements to understand it, what is good practice in terms of version control and naming the copy?
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Pythoneers here, what are some of the best python tricks you guys use when progrmming with python
Icecream is great for this. Just calling ic(foo) gives you the same thing on stderr.
- What's you fav ice cream??
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What Python debugger do you use?
I get around this by using loguru (a wrapper around python's logger), so I get information like the calling function and line number with my debugging statements. I don't use it these days (and actually built something extremely similar around the same time), but icecream is another alternative that facilitates debugging-by-print
- Top 3 hardest things with debugging as a beginner?
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Does anyone use python debugger?
Most of the time I simply use icecream (a much better version of print()), and sometimes, I use pudb (a visual debugger) for tougher/trickier bugs.
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Let's do a war
We also have ice cream
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What is your favorite ,most underrated 3rd party python module that made your programming 10 times more easier and less code ? so we can also try that out :-) .as a beginner , mine is pyinputplus
I found icecream in a post on this subreddit and still use it as an alternative to print for debugging.
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A script for print debugging python code
In the future using something like icecream might be interesting as well.
What are some alternatives?
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pdb++
ColossalAI - Making large AI models cheaper, faster and more accessible
Loguru - Python logging made (stupidly) simple
DeepFaceLive - Real-time face swap for PC streaming or video calls
py-spy - Sampling profiler for Python programs
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
Laboratory - Achieving confident refactoring through experimentation with Python 2.7 & 3.3+
lisp - Toy Lisp 1.5 interpreter
remote-pdb - Remote vanilla PDB (over TCP sockets).
Kornia - Geometric Computer Vision Library for Spatial AI
PySnooper - Never use print for debugging again