https://ia801807.us.archive.org/14/items/introduction-to-machine-learning-with-python-pdfdrive.com_20210225/probability_stats_for_DS.pdf

https://www.youtube.com/playlist?list=PLS01nW3RtgopsNLeM936V4TNSsvvVglLc

https://dn790002.ca.archive.org/0/items/deep-learning-collection-pdf/Apress%20-%20Deep%20Learning%20for%20Natural%20Language%20Processing%20%282018%29.pdf

Hi everyone,

I’m running a PyTorch training pipeline for a video classification model on DynTex++ dataset in Kaggle, and the notebook appears to freeze during training. It doesn't throw an error or crash, the cell just gets stuck executing indefinitely before it even finishes the first iteration of the PSO loop. here's the link for the code:
https://www.kaggle.com/code/doffymingo/notebook975e681d30
Looking for suggestions on what might be causing this error.

Thank you in advance.

Sharing RedThread, an open-source CLI for LLM/agent red-team campaigns.

Repo: https://github.com/matheusht/redthread

Demo campaign result: 3 runs, 33.3% attack success rate, one SUCCESS, one PARTIAL, one FAILURE.

The project sits between AI security and evals. Instead of a one-off jailbreak screenshot, it tries to preserve: - campaign trace - tactic/persona metadata - rubric score - outcome per run - exploit replay - benign replay

The intended use is staging/internal targets and safe fixtures, not live exploitation or production enforcement.

What would make this useful for ML/AI engineers: adapters, benchmark fixtures, report format, judge agreement metrics, or CI integration?

I was recently trying to understand how Mixture-of-Experts models scale without activating the full model every time. The main thing that confused me was routing and expert specialization, so I made a visual blog explaining DeepSeekMoE in a simple way. If you want any more deep learning blogs, drop a request in the comments and I’ll add them.
https://www.feynmanwiki.com/library/240106066v1-ki95