ivy
devops-exercises
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| ivy | devops-exercises | |
|---|---|---|
| 17 | 37 | |
| 14,022 | 63,339 | |
| 0.5% | - | |
| 10.0 | 7.3 | |
| 4 days ago | 11 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
devops-exercises
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DevOps Exercises
https://github.com/bregman-arie/devops-exercises this collection might help. (Also first result for „DevOps exercises“. Get good at using a search engine, it‘s a must have skill)
- DevOps/SRE Exercises Repository
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What will be asked for devOps engineer interview?
Here's a huge collection of devops related technical interview questions: https://github.com/bregman-arie/devops-exercises.
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5 GitHub Projects to Help You Become a Better DevOps Engineer ⚡
3. DevOps Exercises
- When am I ready for a junior role?
- algun libro para aprender devops?
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Programming Languages/Certs for Networking?
https://github.com/bregman-arie/devops-exercises -> lots of jumping-off points
- GitHub - bregman-arie/devops-exercises: Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
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.
homelab - Modern self-hosting framework, fully automated from empty disk to operating services with a single command.
ColossalAI - Making large AI models cheaper, faster and more accessible
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
DeepFaceLive - Real-time face swap for PC streaming or video calls
prom2teams - prom2teams is an HTTP server built with Python that receives alert notifications from a previously configured Prometheus Alertmanager instance and forwards it to Microsoft Teams using defined connectors
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)
DevOps-The-Hard-Way-AWS - This repository contains free labs for setting up an entire workflow and DevOps environment from a real-world perspective in AWS
lisp - Toy Lisp 1.5 interpreter
commitizen - Create committing rules for projects :rocket: auto bump versions :arrow_up: and auto changelog generation :open_file_folder:
Kornia - Geometric Computer Vision Library for Spatial AI
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.