Context Data Platform for Self-learning Agents
One Place for Agents to Store, Observe, and Learn. Designed to simplify context engineering, improve agent reliability and task success rates.
https://github.com/memodb-io/Acontext
One Place for Agents to Store, Observe, and Learn. Designed to simplify context engineering, improve agent reliability and task success rates.
https://github.com/memodb-io/Acontext
GitHub
GitHub - memodb-io/Acontext: Data platform for context engineering. Context data platform that stores, observes and learns. Join…
Data platform for context engineering. Context data platform that stores, observes and learns. Join the community❤️: https://discord.acontext.io - memodb-io/Acontext
PyTogether: Collaborative lightweight real-time Python IDE for teachers/learners
https://github.com/SJRiz/pytogether
https://github.com/SJRiz/pytogether
GitHub
GitHub - SJRiz/pytogether: Source code for pytogether.org — A fully browser-based collaborative IDE with real-time editing, live…
Source code for pytogether.org — A fully browser-based collaborative IDE with real-time editing, live drawing, and voice chat. - SJRiz/pytogether
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 scripts, 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 scripts, 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
❤1
Syd
Air-gapped cybersecurity assistant for security professionals. 100% offline AI-powered analysis tool for Nmap, Volatility, BloodHound, Metasploit, YARA, and more. Built for environments where cloud AI isn't available.
https://gitlab.com/sydsec1/Syd
Air-gapped cybersecurity assistant for security professionals. 100% offline AI-powered analysis tool for Nmap, Volatility, BloodHound, Metasploit, YARA, and more. Built for environments where cloud AI isn't available.
https://gitlab.com/sydsec1/Syd
GitLab
Sydsec / Syd · GitLab
Air-gapped cybersecurity assistant for security professionals. 100% offline AI-powered analysis tool for Nmap, Volatility, BloodHound, Metasploit, YARA, and more. Built for environments where cloud AI isn't available.
The Lazy Loading Pattern: How to Make Python Programs Feel Instant
This video provides a deep dive into the Lazy Loading pattern in Python, demonstrating how it immediately improves application responsiveness by delaying initialization until required. It teaches practical techniques for implementation, including using generators, caching, and background preloading to optimize performance, memory, and code design.
https://www.youtube.com/watch?v=ENnDxEOAKKc
This video provides a deep dive into the Lazy Loading pattern in Python, demonstrating how it immediately improves application responsiveness by delaying initialization until required. It teaches practical techniques for implementation, including using generators, caching, and background preloading to optimize performance, memory, and code design.
https://www.youtube.com/watch?v=ENnDxEOAKKc
YouTube
The Lazy Loading Pattern: How to Make Python Programs Feel Instant
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
In this video, I dive deep into the **Lazy Loading pattern,** one of the simplest and most effective ways to make Python applications feel instantly responsive. I start with…
In this video, I dive deep into the **Lazy Loading pattern,** one of the simplest and most effective ways to make Python applications feel instantly responsive. I start with…
Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks
The paper introduces a benchmark called SUSVIBES to test whether vibe-coded outputs are safe to deploy in real software projects. It finds that while many AI-generated solutions work functionally, the vast majority are insecure, raising serious concerns for production use.
https://arxiv.org/pdf/2512.03262
The paper introduces a benchmark called SUSVIBES to test whether vibe-coded outputs are safe to deploy in real software projects. It finds that while many AI-generated solutions work functionally, the vast majority are insecure, raising serious concerns for production use.
https://arxiv.org/pdf/2512.03262