性能

性能分析与优化

显示 361-384 / 共 2974 个技能
Ceeon

videocut:高清化

Ceeon

视频高清导出。2-pass编码+锐化,匹配或超越原片画质。触发词:高清化、高清导出、导出高清、渲染高清

CLI 工具 3126 6个月前
jeremylongshore

hyperflow-status

jeremylongshore

Hyperflow project status. Use to see current hyperflow state — "what is hyperflow doing", "show task progress", "where are we". Read-only — reports in-flight tasks, memory count, and progress. Never modifies state or runs work.

性能 2868 4个月前
jeremylongshore

hyperflow-cache

jeremylongshore

Hyperflow memory manager. Use to view, search, add, edit, prune, or clear hyperflow project memory — "show memory", "search memory for X", "clear memory", "what does hyperflow remember about Y". CRUD over .hyperflow/memory/ only — never touches source code.

文件操作 2869 4个月前
Mindrally

chrome-extension-development

Mindrally

Expert guidelines for Chrome extension development with Manifest V3, covering security, performance, and best practices

性能 286 9个月前
Mindrally

business-central-development

Mindrally

Expert guidance for Microsoft Dynamics 365 Business Central development using AL language and extensions

调试 286 9个月前
Mindrally

angular-development

Mindrally

Expert guidance for Angular and TypeScript development focused on scalable, high-performance web applications

性能 286 9个月前
Mindrally

angular

Mindrally

Expert in Angular TypeScript development with scalable, high-performance patterns

性能 286 9个月前
Mindrally

data-analyst

Mindrally

Data analysis best practices with pandas, numpy, matplotlib, seaborn, and Jupyter notebooks.

代码生成 286 9个月前
Mindrally

data-analysis-jupyter

Mindrally

Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.

数据处理 286 9个月前
Mindrally

c-sharp

Mindrally

Guidelines for C# development including Blazor, Unity game development, and .NET backend best practices

游戏开发 286 9个月前
Mindrally

android-development

Mindrally

Android development guidelines for Kotlin with clean architecture, MVI pattern, Material Design, and best practices for building robust mobile applications

数据处理 286 9个月前
Mindrally

deep-learning

Mindrally

Comprehensive deep learning guidelines for neural network development, training, and optimization.

MLOps 286 9个月前
Mindrally

astro

Mindrally

Expert in Astro framework with static generation and partial hydration patterns

数据处理 286 9个月前
NousResearch

huggingface-tokenizers

NousResearch

Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.

Git 与版本控制 25.7万 8个月前
NousResearch

peft-fine-tuning

NousResearch

Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.

MLOps 25.7万 7个月前
NousResearch

huggingface-tokenizers

NousResearch

Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.

MLOps 25.7万 5个月前
NousResearch

optimizing-attention-flash

NousResearch

Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.

自动化 25.7万 7个月前
NousResearch

llama-cpp

NousResearch

Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.

CLI 工具 25.7万 8个月前
NousResearch

peft-fine-tuning

NousResearch

Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.

自动化 25.7万 5个月前
vercel-labs

vercel-react-native-skills

vercel-labs

React Native and Expo best practices for building performant mobile apps. Use

动画 3.3万 9个月前
Paramchoudhary

Executive Resume Writer

Paramchoudhary

Create C-suite and VP level resumes emphasizing strategic leadership

数据处理 2848 8个月前
Paramchoudhary

Resume Bullet Writer

Paramchoudhary

Transform weak resume bullets into achievement-focused statements with metrics and impact

代码生成 2848 8个月前
Salesably

prospect-research

Salesably

Creates comprehensive prospect profiles and knowledge capsules for sales preparation. Use this skill when researching new prospects, preparing for calls, onboarding to new accounts, or updating prospect intelligence.

学术 53 10个月前
kochetkov-ma

brewcode:text-optimize

kochetkov-ma

Optimizes text and docs for LLM token efficiency. Use when - optimizing prompts, reducing tokens, compressing text, condensing verbose content. Trigger keywords - optimize, reduce tokens, compress, condense, slim, tighten, too verbose, shrink.

文件操作 38 8个月前