Codetracer - a time-travelling debugger for Python
Codetracer is a new way to debug and code-review Python. Demo:
https://youtu.be/e2ctwMbpuCA
https://github.com/metacraft-labs/codetracer
Codetracer is a new way to debug and code-review Python. Demo:
https://youtu.be/e2ctwMbpuCA
https://github.com/metacraft-labs/codetracer
YouTube
Codetracer time-travel debugger for Python (prerelease)
We introduce CodeTracer for Python timetravel debugger and we show how it can be used to radically improve the experience of debugging Python software
codelion / openevolve
Open-source implementation of AlphaEvolve
https://github.com/codelion/openevolve
Open-source implementation of AlphaEvolve
https://github.com/codelion/openevolve
GitHub
GitHub - codelion/openevolve: Open-source implementation of AlphaEvolve
Open-source implementation of AlphaEvolve. Contribute to codelion/openevolve development by creating an account on GitHub.
AI-Trader
Five AIs battle for NASDAQ 100 supremacy. Zero human input. Pure competition.
https://github.com/HKUDS/AI-Trader
Five AIs battle for NASDAQ 100 supremacy. Zero human input. Pure competition.
https://github.com/HKUDS/AI-Trader
GitHub
GitHub - HKUDS/AI-Trader: "AI-Trader: Can AI Beat the Market?" Live Trading: https://ai4trade.ai
"AI-Trader: Can AI Beat the Market?" Live Trading: https://ai4trade.ai - HKUDS/AI-Trader
Introducing FlashPack: Lightning-Fast Model Loading for PyTorch
The FlashPack package dramatically speeds up PyTorch model loading by flattening all weights into a single contiguous stream, memory-mapping the file, and overlapping disk, CPU, and GPU operations with CUDA streams. This approach yields 3-6× faster loading compared to traditional methods like loadstatedict(), reducing GPU idle time and improving overall performance, especially on syste...
https://blog.fal.ai/introducing-flashpack-lightning-fast-model-loading-for-pytorch
The FlashPack package dramatically speeds up PyTorch model loading by flattening all weights into a single contiguous stream, memory-mapping the file, and overlapping disk, CPU, and GPU operations with CUDA streams. This approach yields 3-6× faster loading compared to traditional methods like loadstatedict(), reducing GPU idle time and improving overall performance, especially on syste...
https://blog.fal.ai/introducing-flashpack-lightning-fast-model-loading-for-pytorch
fal.ai Blog | Generative AI Model Releases & Tutorials
Introducing FlashPack: Lightning-Fast Model Loading for PyTorch
When using machine learning models in the real world, performance isn’t just about how fast your GPU can crunch numbers — it’s also about how quickly you can get your model there. Every second spent waiting on a checkpoint to load is a second your GPUs sit…
The Building Blocks of Agentic AI: From Kernels to Clusters
The PyTorch Native Agentic Stack is a scalable, PyTorch-integrated framework designed for building and deploying autonomous AI agents across thousands of GPUs. It simplifies complex distributed reinforcement learning workflows by orchestrating large-scale models, providing abstractions for services, fault tolerance, and efficient state management to accelerate AI research and deployment.
https://ai.meta.com/blog/introducing-pytorch-native-agentic-stack
The PyTorch Native Agentic Stack is a scalable, PyTorch-integrated framework designed for building and deploying autonomous AI agents across thousands of GPUs. It simplifies complex distributed reinforcement learning workflows by orchestrating large-scale models, providing abstractions for services, fault tolerance, and efficient state management to accelerate AI research and deployment.
https://ai.meta.com/blog/introducing-pytorch-native-agentic-stack
Meta AI
The Building Blocks of Agentic AI: From Kernels to Clusters
At PyTorch Conference 2025 in San Francisco, we unveiled five new projects spanning kernel languages, distributed systems, reinforcement learning, agentic frameworks, and edge AI deployment.
Nyno
Create and Run Linux Workflows without Limits. Short for "nine" / "yaml" / "no-code" / "automation".
https://github.com/empowerd-cms/nyno
Create and Run Linux Workflows without Limits. Short for "nine" / "yaml" / "no-code" / "automation".
https://github.com/empowerd-cms/nyno
GitHub
GitHub - empowerd-cms/nyno: Create and Run Linux Workflows without Limits. Short for "nine" / "yaml" / "no-code" / "automation".
Create and Run Linux Workflows without Limits. Short for "nine" / "yaml" / "no-code" / "automation". - GitHub - empowerd-cms...
Detecting object wrappers
The wrapt library's version 2.0.0 changed its object proxy class hierarchy, breaking checks that detect if an object is already wrapped, causing repeated wrapping and performance issues. The best practice is to use custom wrapper types and traverse wrapper chains via the wrappedattribute to reliably detect wrapping, emphasizing careful version pinning and cautious monkey patching in ...
https://grahamdumpleton.me/posts/2025/10/detecting-object-wrappers/
The wrapt library's version 2.0.0 changed its object proxy class hierarchy, breaking checks that detect if an object is already wrapped, causing repeated wrapping and performance issues. The best practice is to use custom wrapper types and traverse wrapper chains via the wrappedattribute to reliably detect wrapping, emphasizing careful version pinning and cautious monkey patching in ...
https://grahamdumpleton.me/posts/2025/10/detecting-object-wrappers/
grahamdumpleton.me
Detecting object wrappers - Graham Dumpleton
How to detect if an object has already been wrapped.
pip 25.3
The pip 25.3 release is the final major pip update of 2025, featuring the removal of non-PEP 517 package build support and non-PEP 660 editable installs, meaning pip no longer calls legacy setup.py commands. It adds the new --build-constraint option for specifying build-time constraints separately, improves caching and metadata handling, supports editable requirements as Direct URLs, and...
https://discuss.python.org/t/announcement-pip-25-3-release/104550
The pip 25.3 release is the final major pip update of 2025, featuring the removal of non-PEP 517 package build support and non-PEP 660 editable installs, meaning pip no longer calls legacy setup.py commands. It adds the new --build-constraint option for specifying build-time constraints separately, improves caching and metadata handling, supports editable requirements as Direct URLs, and...
https://discuss.python.org/t/announcement-pip-25-3-release/104550
Discussions on Python.org
Announcement: pip 25.3 release!
On behalf of the PyPA, I am pleased to announce that the pip team has just released pip 25.3. This is the fourth and final major release of pip for the year 2025. You can read more about our versioning, deprecation policy, and release process here. Highlights…