ivy
pyright-python
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| ivy | pyright-python | |
|---|---|---|
| 17 | 2 | |
| 14,022 | 138 | |
| 0.5% | - | |
| 10.0 | 8.1 | |
| 4 days ago | 8 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.
pyright-python
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Emulating React/Angular components in Django
Nix is unnecessary and will kill adoption from being too heavy handed. Use pip package nodeenv for an isolated node install. Check https://github.com/RobertCraigie/pyright-python for an example of a python package that relies on node.
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Do you recommend learning go for an interpreter project?
You can statically type Python if you want. It has the syntax for it, but you need to use an external type checker like Pyright. It's easy to use with VS Code.
What are some alternatives?
PaddleNLP - 👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
video-to-ascii - It is a simple python package to play videos in the terminal using characters as pixels
ColossalAI - Making large AI models cheaper, faster and more accessible
Crafting Interpreters - Repository for the book "Crafting Interpreters"
DeepFaceLive - Real-time face swap for PC streaming or video calls
ivy - ivy, an APL-like calculator
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)
go-parsing - A Multi-Package Go Repo Focused on Text Parsing, with Lexers, Parsers, and Related Utils
lisp - Toy Lisp 1.5 interpreter
pipupgrade - 🗽 Like yarn outdated/upgrade, but for pip. Upgrade all your pip packages and automate your Python Dependency Management.
Kornia - Geometric Computer Vision Library for Spatial AI