Skip to main content

xiaden/ML-Experiments

SkillsMP 已收集 xiaden/ML-Experiments 中的 14 个 Skill。打开任一 Skill 可查看来源和详情。

最近记录的来源活动
SkillsMP 收录数据更新
已收集 skills
14
GitHub 星标
0
GitHub Forks
0

这个仓库中的 skills

1 个职业分类 · 已分类 100%

已展示 14 / 14 个已收集 Skill。

职业分类
软件开发工程师
描述

Methods for adaptive/token-budgeted visual generation — token merging, token pruning, early exiting, and self-budgeting tokenization in diffusion/image generation models.

原文语言:英语

更新
职业分类
软件开发工程师
描述

Attention Residuals (AttnRes) implementation in the PDLI experiment. Covers AttnResDepth, AttnResBlock, and the L2RTP model that uses them. Essential for anyone modifying the transformer architecture or residual connections.

原文语言:英语

更新
职业分类
软件开发工程师
描述

Comprehensive dependency maintenance — verifies import health, requirements.txt consistency, import hierarchy, and environment health.

原文语言:英语

更新
职业分类
软件开发工程师
描述

Comprehensive paper library maintenance — cross-references papers.md against summaries, techniques, and PDFs. Detects orphans, missing registrations, and pulls missing papers.

原文语言:英语

更新
职业分类
软件开发工程师
描述

Add a new research paper to the library — fetch the paper, write a structured summary to `docs/upstream/papers/`, implement its technique as a standalone Python module in `resources/techniques/`, and register it in `references/papers.md`.

原文语言:英语

更新
职业分类
软件开发工程师
描述

Multi-scale/pyramidal approaches to denoising diffusion models. Covers the Ryu & Ye 2022 pyramidal DDPM paper and related coarse-to-fine diffusion architectures. Relevant to subdivision mode / spatial budget training and hierarchical latent backbones in the…

原文语言:英语

更新
职业分类
软件开发工程师
描述

Comprehensive artifact maintenance — validates log naming, decision format, plan syntax compliance, staleness detection, and ensures the artifact corpus is parseable.

原文语言:英语

更新
职业分类
软件开发工程师
描述

Dataset management maintenance — validates dataset integrity, version tracking, storage health, and cache consistency for training datasets.

原文语言:英语

更新
职业分类
软件开发工程师
描述

GPU and VRAM health maintenance — validates CUDA availability, monitors VRAM usage, detects memory leaks, and ensures GPU readiness for training.

原文语言:英语

更新
职业分类
软件开发工程师
描述

MLflow experiment tracking maintenance — validates run metadata, experiment organization, artifact consistency, and SQLite backend health.

原文语言:英语

更新
职业分类
软件开发工程师
描述

Model checkpoint maintenance — validates .pt file integrity, metadata structure, version tracking, and storage health for trained disposition layers.

原文语言:英语

更新
职业分类
软件开发工程师
描述

Validates standard/experimental notebook conventions, shared component usage, and lifecycle hooks. Provides grep-based checks and targeted auto-fix guidance.

原文语言:英语

更新
职业分类
软件开发工程师
描述

Technique module maintenance — validates conventions, checks paper pulls, detects duplicates, verifies registration, and auto-fixes import issues.

原文语言:英语

更新
职业分类
软件开发工程师
描述

Training pipeline maintenance — validates experiment runner, training loop, training rig, and component integration for all notebooks.

原文语言:英语

更新
已展示 14 / 14 个已收集 Skill。