ai-agent

pytorch_influence_functions: Improve Model Transparency

Get insight into black-box predictions with pytorch_influence_functions, a PyTorch implementation for startup founders using deep learning.
348 stars74 forksPythonGuide quality 8/10Updated 10/29/2023100% free · open source
What it does

Pytorch_influence_functions helps startup founders understand and analyze the predictions made by their deep learning models by identifying the most influential training data points

When to use it
  • When you need to debug and understand why your model is making certain predictions
  • When you want to identify biases in your training data and their impact on model predictions
  • When you need to explain model decisions to stakeholders or customers
Ready-to-paste prompt
python examples/influence_functions_example.py --dataset cifar10 --model resnet18 --num_samples 100
Heads up: Make sure you have PyTorch installed and the version is compatible with the pytorch_influence_functions library, as it requires PyTorch 1.9 or later
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/pytorch-influence-functions && curl -fsSL https://workflowstacks.com/api/skills/pytorch-influence-functions/claude-skill -o ~/.claude/skills/pytorch-influence-functions/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

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Details
Creator
nimarb
Language
Python
Category
ai-agent
Published
11/30/2019

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