kubesdk — async-first, fully typed Python SDK for Kubernetes
Open-source Python SDK with fully typed models, async client, and multi-cluster support for Kubernetes automation.
https://github.com/puzl-cloud/kubesdk
Open-source Python SDK with fully typed models, async client, and multi-cluster support for Kubernetes automation.
https://github.com/puzl-cloud/kubesdk
GitHub
GitHub - puzl-cloud/kubesdk: Kubernetes client for Python + CRD & API models generator. Fast, fully typed, async.
Kubernetes client for Python + CRD & API models generator. Fast, fully typed, async. - puzl-cloud/kubesdk
FunAudioLLM / CosyVoice
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
https://github.com/FunAudioLLM/CosyVoice
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
https://github.com/FunAudioLLM/CosyVoice
GitHub
GitHub - FunAudioLLM/CosyVoice: Multi-lingual large voice generation model, providing inference, training and deployment full-stack…
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability. - FunAudioLLM/CosyVoice
facebookresearch / sam3
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
https://github.com/facebookresearch/sam3
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
https://github.com/facebookresearch/sam3
GitHub
GitHub - facebookresearch/sam3: The repository provides code for running inference and finetuning with the Meta Segment Anything…
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho...
We Got Claude to Fine-Tune an Open Source LLM
We gave Claude the ability to fine-tune language models using a new tool called Hugging Face Skills. Not just write training noscripts, but to actually submit jobs to cloud GPUs, monitor progress, and push finished models to the Hugging Face Hub. This tutorial shows you how it works and how to use it yourself.
https://huggingface.co/blog/hf-skills-training
We gave Claude the ability to fine-tune language models using a new tool called Hugging Face Skills. Not just write training noscripts, but to actually submit jobs to cloud GPUs, monitor progress, and push finished models to the Hugging Face Hub. This tutorial shows you how it works and how to use it yourself.
https://huggingface.co/blog/hf-skills-training
huggingface.co
We Got Claude to Fine-Tune an Open Source LLM
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Learn NLP Research: 7 Papers Implemented
This video traces the evolution of neural machine translation from RNNs and LSTMs to attention mechanisms, Transformers, and multilingual models like GNMT. It includes PyTorch implementations of 7 landmark papers, mathematical explanations, and tools like Transformer Playground for hands-on learning.
https://www.youtube.com/watch?v=kRv2ElPNAdY
This video traces the evolution of neural machine translation from RNNs and LSTMs to attention mechanisms, Transformers, and multilingual models like GNMT. It includes PyTorch implementations of 7 landmark papers, mathematical explanations, and tools like Transformer Playground for hands-on learning.
https://www.youtube.com/watch?v=kRv2ElPNAdY
YouTube
From RNNs to Transformers: The Complete Neural Machine Translation Journey
This course is a comprehensive journey through the evolution of sequence models and neural machine translation (NMT). It blends historical breakthroughs, architectural innovations, mathematical insights, and hands-on PyTorch replications of landmark papers…
Python Workers redux: fast cold starts, packages, and a uv-first workflow
https://blog.cloudflare.com/python-workers-advancements/
https://blog.cloudflare.com/python-workers-advancements/
The Cloudflare Blog
Python Workers redux: fast cold starts, packages, and a uv-first workflow
Recent advancements in Cloudflare Python Workers means fast cold starts, comprehensive package support, and a great developer experience. We explain how they were achieved and show how Python can be used to build serverless applications on Cloudflare.
Extracting Structured Data from Patient Intake Forms with DSPy and CocoIndex
Extract clean, typed, Pydantic-validated structured data directly from PDFs
https://cocoindex.io/blogs/extraction-dspy
Extract clean, typed, Pydantic-validated structured data directly from PDFs
https://cocoindex.io/blogs/extraction-dspy
cocoindex.io
Extracting Structured Data from Patient Intake Forms with DSPy and CocoIndex | CocoIndex
Continuously extract clean, typed, Pydantic-validated structured data directly from patient intake forms, using DSPy and CocoIndex. This tutorial demonstrates building scalable, production-grade AI pipelines with typed Pydantic validation, OCR vision models…
robyn-config — CLI to scaffold production-ready Robyn apps
Production-ready Robyn backend boilerplate generator with flexible project layouts, ORM support, and CLI tooling for fast project setup
https://github.com/Lehsqa/robyn-config
Production-ready Robyn backend boilerplate generator with flexible project layouts, ORM support, and CLI tooling for fast project setup
https://github.com/Lehsqa/robyn-config
GitHub
GitHub - Lehsqa/robyn-config: 🧩 Production-ready Robyn backend boilerplate generator with flexible project layouts, ORM support…
🧩 Production-ready Robyn backend boilerplate generator with flexible project layouts, ORM support, and CLI tooling for fast project setup - Lehsqa/robyn-config